We’ve all been there—stuck in an endless loop with a chatbot that never quite answers the question, or using a mobile app that can’t complete the tasks it’s designed to handle. After a few frustrating minutes, the only option is to pick up the phone or start over. A process designed to save time ends up taking more of it.

According to the Liferay 2025 Digital Self-Service Report, this experience is far from rare. The survey of 1,000 U.S. adults found that 68% of consumers have abandoned a digital task, and 73% have skipped a purchase because the process was too frustrating. Once seen as a symbol of convenience, self-service has often become a source of fatigue and friction for customers.

This article explores the cost of these failures and how martech teams can address them. By reframing the problem from automation to experience design, marketing leaders can identify where friction occurs and create digital journeys that strengthen customer confidence.

The Real Cost of Friction

In theory, digital self-service should make life easier for both customers and companies. In practice, users often feel like they are working for the organization instead of being supported by it. Eighty-two percent of respondents said they are now performing tasks they believe employees once handled. Sixty-four percent described their experiences as frustrating, and 39% said they feel exhausted by digital processes.

That emotional strain translates directly into business costs. Each time a task stalls, the customer journey breaks. When users restart forms or switch channels for help, confidence erodes, and the organization pays the price through wasted effort and lost revenue. Service teams then spend more time troubleshooting, while marketers lose insight into customer intent buried in fragmented workflows.

Why Martech Leaders Should Care

Many organizations treat self-service design as a service issue. In reality, it is a marketing challenge. Every digital touchpoint shapes brand perception. When those interactions are inconsistent or confusing, customers associate the frustration with the brand itself.

From a martech standpoint, the issue often starts upstream with disconnected systems and data, as well as siloed ownership of the customer journey. When marketing, IT, and CX teams work independently, the result is a fragmented ecosystem that shifts complexity to the customer. Fixing that requires rethinking how teams design, connect, and measure digital experiences.

Reframing the Challenge

Improving self-service begins with removing friction across the customer journey. Success is measured not only by completion rates, but also by the effort invested. Tracking how often users restart tasks, abandon forms, or call support reveals the real story of where experiences fail.

Design plays an equally critical role. The most effective self-service experiences anticipate behavior rather than forcing users to adapt. Features such as auto-save, pre-filled forms, progress indicators, and real-time validation can turn frustration into flow. In healthcare insurance, for example, consumers report that finding the right information is their biggest challenge; yet, digital tools meet that need only 39% of the time. Addressing usability gaps like this delivers measurable value.

Collaboration and Accountability

Reducing friction requires cross-functional teamwork. Marketing understands customer behavior, IT manages system capabilities, and operations oversee process flow. When these groups share a unified framework for data and design, self-service experiences become consistent across every channel.

Governance provides the structure to sustain that consistency. Standardizing APIs and centralizing design systems creates the technical and visual cohesion that customers perceive as reliable. These frameworks reduce rework, improve scalability, and ensure every digital interaction reinforces trust.

What’s Next for Experience Design

As AI and personalization tools mature, the quality of digital experiences will become the defining factor in competitive advantage. Customers expect smooth, intuitive interactions, yet many still encounter friction caused by disjointed systems and poor design. A single frustrating self-service journey can undo the benefits of sophisticated automation.

For cross-functional teams, the path forward depends on collaboration and disciplined integration. Shared APIs and consistent data standards allow systems to communicate seamlessly. Centralized governance aligns teams and ensures brand coherence. Measuring interoperability instead of tool count keeps the focus on performance.

The goal is to create connected experiences that build trust and make self-service feel effortless. When marketing, IT, and service teams align on data, design, and accountability, they move closer to delivering the kind of digital journeys customers expect and remember fondly.

The post When Self-Service Stops Serving the Customer appeared first on MartechView.

When a company as large as Vodafone—serving over 330 million customers across 15 countries—decides to reinvent its operational backbone, the industry pays attention. But Vodafone is doing more than reinventing itself. It is taking its Vodafone Intelligent Solutions (VOIS) shared services operation, honed over 15 years of consolidating network monitoring, HR, finance, technology, and call center operations, and commercializing it for the broader telecommunications market.

This is not a mere efficiency play. It’s a signal: telco incumbents, often criticized for their plodding pace and siloed cultures, are learning to act like tech companies—productizing what used to be internal functions, opening up new revenue streams, and leaning on partners like Accenture to bring innovation at speed.

For Julie Sweet, Accenture’s CEO, and Margherita Della Valle, Vodafone’s CEO, this is the natural next step in a partnership that has already pushed Vodafone into the cloud, executed one of SAP’s largest finance migrations in history, and embedded AI into customer care.

Now, the two companies are attempting something bolder: turning operational maturity into a marketable product.

Radical Change in a Conservative Industry

Della Valle has called this a “radical change”—and that phrase should not be underestimated. Shared services have traditionally been a cost-center discipline, hidden away in corporate machinery. Vodafone’s move reframes them as a growth driver, one that it can offer to other telcos and adjacent industries.

It’s a clever, if risky, bet. The global telco industry is under immense strain: squeezed by regulatory pressures, commoditized data services, rising cybersecurity threats, and a talent war, they are often ill-equipped to win. Shared services commercialization offers Vodafone a path to revenue diversification while simplifying its own organizational complexity.

Accenture’s role is equally critical. It brings GenWizard, an AI-powered automation platform capable of compressing the technology delivery cycle by 25%, automating coding, documentation, and testing. In other words, it promises Vodafone the ability to deploy IT changes with software-like velocity.

If it works, this sets a new performance frontier for telcos—a sector not typically known for agility.

Why This Matters Beyond Vodafone

The implications are far-reaching. Vodafone isn’t just opening its back office to the market; it’s signaling a shift in what telecommunications companies are for.

For decades, the telco playbook has been defensive: manage infrastructure, reduce churn, fight over market share. But this new model is proactive and partner-driven. It suggests telcos can compete not only on networks but also on operational sophistication, turning once-insular capabilities into shared platforms for the industry.

This is, in effect, the “cloudification” of shared services: Vodafone is selling what it learned from reinventing itself.

And it’s happening when telecommunications is increasingly blurring with technology. Consider how hyperscalers like AWS and Microsoft Azure already dominate enterprise infrastructure. Vodafone’s pivot is, in part, an effort to prevent telcos from becoming mere utilities—fighting for relevance by becoming collaborators, not just carriers.

A Human-Centered Transformation

One of the more compelling aspects of this reinvention is its focus on people. Della Valle emphasizes that this isn’t just about stripping costs or accelerating IT delivery. It’s about upskilling Vodafone’s workforce, giving them access to new technologies, and positioning them as partners in a broader ecosystem.

“As we develop new services together and open up to new customers,” she explains, “this will give our people the opportunity to benefit from new careers, new skills, and a different view of the world.”

This is smart business. Talent is as much a constraint in telecommunications as spectrum. By turning VOIS into a commercial offering, Vodafone employees become more than service providers—they become innovation drivers.

It’s also a subtle but important cultural shift: from serving internal stakeholders to serving external customers, a change that often sparks new levels of accountability and creativity.

A Bold but Precarious Bet

I’ve seen my share of “radical change” narratives. Some transform industries; others make for fascinating post-mortems.

Vodafone’s move, falls into the first category—but it comes with caveats.

Commercializing shared services will demand ruthless clarity about what VOIS can and cannot deliver. Success depends on more than AI-driven efficiency. It will require building a brand around a historically invisible function. It will require Vodafone to think like a B2B service provider while maintaining its telco DNA. It will also require sustained cultural change—shifting employees from operations to co-creation and from maintenance to market-making.

If done right, this could become a blueprint for telcos worldwide. If done poorly, it risks becoming another half-realized corporate pivot.

Lessons for the Industry

There are takeaways here for any enterprise navigating reinvention:

1. Turn your internal strengths outward. If you’ve built operational excellence, ask whether it can become a market-facing product.
   
2. Pair transformation with partnership. Vodafone isn’t doing this alone—its collaboration with Accenture is a case study in co-innovation.
   
3. Make people the point. Automation and AI can unlock efficiencies, but talent—reskilled, reenergized, and reoriented—sustains transformation.
   
4. Treat operations as strategy. When done right, the business’s “plumbing” can become its differentiator.
   

The Bottom Line

Vodafone’s shared services bet is more than a structural adjustment; it’s a cultural declaration. It says: We are no longer just a telco. We are an operational platform.

It’s an audacious stance in an industry that has too often been content to play defense. But if Vodafone’s history of reinvention is any guide, this may well be the future of telecommunications: agile, platformized, and human-centric.

For those watching from the sidelines—whether in telecom, technology, or beyond—the message is clear: operational reinvention isn’t just possible; it’s marketable.

And in a world where the lines between telco, tech, and services are vanishing, that may be the most radical change of all.

The post Vodafone’s Big Bet: Can Commercialized Shared Services Redefine Telco? appeared first on MartechView.

In recent years, WhatsApp has developed from a simple messaging app for personal use into an essential communication tool for businesses worldwide. According to Statista, as of February 2025, the app has more than two billion monthly active users, solidifying its role as a powerful platform for businesses to engage and connect with their customers.

However, in an on-demand world where instant digital interactions have become the norm, businesses need to adopt a more strategic approach and embrace all WhatsApp’s features, from branded profiles to AI-powered automation. Without this, businesses risk losing engagement, customer trust, and, ultimately, conversions.

The development of WhatsApp as a business tool

Since WhatsApp was introduced to the business world, users have gone from communicating on a personal level to using it as a customer service tool. According to recent statistics, 57% of consumers regularly interact with brands through the platform, with 70% saying messaging has made a positive impact on a brand’s perception. Because of this, 58% of brands have seen enhanced customer satisfaction.

Today, companies recognize that WhatsApp goes beyond basic communication – it’s about delivering a personalized customer experience. By strategically utilizing all its features, businesses can move beyond simple transactions and create lasting relationships that build loyalty and drive long-term success.

Also Read: Automate Customer Service: 6 Reasons to Invest in AI

WhatsApp’s hidden features

The WhatsApp Business Platform (also known as the WhatsApp Business API) offers a range of features designed to make business communications easy, engaging, and more personal. The first step businesses must take is to create a strong, branded business profile. This way, companies can create a professional and trusting image whilst sharing key information, such as location, and showcase the direct ways customers can reach them.

Using rich messaging is one feature that can help businesses stand out from an increasingly crowded market. In a world where people are used to visual communication, largely down to social media usage, delivering content through images, videos, and voice messages can be more engaging than just text alone. Using this messaging style to demonstrate how products and services can be used, for example, enhances engagement while adding a human touch, creating a deeper connection with customers.

Features such as quick-reply buttons further simplify the customer journey. By having the option to send a quick reply, businesses can respond to frequently asked questions quickly, with pre-programmed responses leading to reduced response times and improved customer experience.

Channelling AI and automation for enhanced efficiency

As in all other areas of business, AI and automation play an important role in WhatsApp marketing. Using a chatbot is becoming one of the most significant AI applications in WhatsApp. Chatbots can handle large volumes of customer queries at once, 24/7, and they allow human agents to focus on more complex issues and reduce their workload, resulting in a more positive workplace. 

Research has shown that a quarter of UK workers report feeling unable to cope with workplace stress, and 63% of employees show symptoms of burnout, highlighting the need for more support. Offloading tasks that can be automated by chatbots can help relieve this and mitigate the risk of employee absences and work-related health issues.

In addition to automation, AI-driven tools can analyze individual customer interactions to gather personalized insights. More customers want to feel a sense of customization with the company they are engaging with. By using this data to target specific marketing, companies will enhance the overall customer experience, increasing customer loyalty. 

Also Read: How Can Businesses Adapt to Changing Market Conditions?

Creating a unique journey

In a world of boosted advertisements, algorithms, and mass messages, consumers are inundated with information that might not be relevant to them. With an average attention span of just eight seconds, businesses must quickly capture their target’s interest. 

One way to tackle this is by integrating WhatsApp with customer relationship management (CRM) tools. By doing so, businesses can track customer activity and react accordingly by sending automated messages about their order status or providing delivery tracking information. Adding this extra step allows customized and targeted communication strategies, ultimately making customers feel valued.

Maintaining a competitive edge

As WhatsApp continues to evolve, businesses need to get ahead and adopt this way of communication early. Being an early adopter of cutting-edge tools and technologies shows a commitment to innovation and understanding customer behavior.

But what’s next for this type of platform? The rapid pace of technological advancement means that businesses must be proactive in adopting new strategies instead of waiting for competitors to try and test them. Emerging trends shaping WhatsApp’s marketing strategy will likely include the growing importance of analytics, which will offer more detailed insights into consumer behavior, and the consideration of data privacy, which will remain a priority to ensure customer trust.

WhatsApp’s evolution from simple messaging to incorporating value-added business tools allows companies to engage with customers in a more direct, personal, and efficient way. However, to ensure they use WhatsApp to its full potential, businesses must utilize its rich features, automation tools, and AI capabilities to stand out in a highly demanding, low-attention, competitive digital landscape.

The post WhatsApp for Business: Beyond Messaging to Customer Engagement appeared first on MartechView.

For businesses large and small, investing in customer service automation initiatives is now essential. Customer expectations are constantly evolving, pushing companies to explore new ways of enhancing, personalizing, and streamlining every experience while keeping costs low.

Intuitive automation solutions can help organizations accomplish more with less in the contact center. The right technologies significantly improve the speed and efficiency of customer service operations, enhance employee experiences, and reduce costs.

With the rise of artificial intelligence introducing new ways to automate a broader range of complex tasks, the business opportunity is greater than ever. Some experts predict AI will automate up to 95% of customer service interactions by the end of 2025.

Here’s why you should be investing in customer service automation this year.

Customer Service Automation Enables 24/7 Support

One of the biggest benefits of investing in customer service automation solutions is the ability to enable consistent, around-the-clock customer support. This is crucial at a time when customers expect to have instant access to guidance from companies on a range of channels.

In fact, on average, customers say they would spend around 19% more to purchase products and services from companies that offer “always immediate service.” Unlike human agents, automated solutions aren’t constrained by specific work schedules.

They can provide instant support at any time, and thanks to more advanced AI algorithms, bots are now more effective at addressing complex user needs. Some solutions can even enable customers to complete tasks, like making a payment, without human intervention.

Also Read: How Can Businesses Adapt to Changing Market Conditions?

Automation Reduces Operational Costs

Although automated systems won’t entirely replace the need for human employees in the contact center, they can reduce the number of specialists companies need to hire for CX purposes. With automated technologies, you can significantly reduce the cost of running a global, always-on contact center. Some studies suggest that implementing automated bots in a contact center can reduce operational costs by 40%.

Chatbots and automated solutions don’t need a monthly salary to deliver excellent customer service. All you need to focus on is initial implementation and ongoing training and maintenance costs. Customer service automation solutions can even reduce costs in other ways. For instance, automated bots are less likely to commit errors than fatigued or stressed team members.

This means you’ll spend less time and money rectifying mistakes with data entry, customer guidance, and more. Plus, because agents will have fewer tasks to focus on, they can invest more energy into delivering an excellent customer experience, boosting customer loyalty and retention rates.

Customer Service Automation Improves CX

Customer service automation solutions can improve customer experiences in various ways. They contribute to faster response times, shorter resolution times, and enhanced personalization opportunities. They can even help companies to maintain brand consistency, ensuring consumers get the same consistent level of support regardless of how they contact your team.

Intelligent bots can guide customers through purchasing journeys, helping them to select the right product and even providing onboarding and training guidance for complex solutions. They can help keep customers engaged by automatically following up with them about previous purchases or informing them about new products and offers.

Leading AI solutions can even adapt the customer experience automatically, drawing information about each customer from CRM solutions and databases. Plus, they ensure you can adapt to changing customer preferences for both omnichannel and self-service solutions. For instance, you can use automated IVR to support customers who prefer to call your team and chatbots for text-based interactions. Some companies are even creating AI avatars that can offer video support.

Also Read: All You Need to Know: Live Commerce

Automation Optimizes Agent Experiences

Automated tools can eliminate the need for agents to waste their energy on mundane tasks like transcribing calls. Plus, they can provide comprehensive step-by-step guidance to team members wherever they are. For instance, an agent assistant tool can deliver real-time coaching to hybrid team members and even help them troubleshoot issues.

Improving the agent experience with automation reduces the cost and complexity associated with turnover in the contact center. Plus, it directly impacts customer satisfaction rates, as happier, more engaged employees deliver better support.

Customer Service Automation Improves Business Management

Managing a contact center can be complicated in today’s world. Companies need to ensure they’re tracking critical metrics throughout the customer journey, constantly optimizing agent performance, and making the most of their resources.

Automation solutions simplify a variety of management tasks. Companies can more effectively create employee schedules based on predictions and analytics. They can use automated tools to monitor critical quality assurance and performance metrics. There are even tools that can automatically monitor conversations for security risks or compliance issues.

Plus, based on the data you gather from your customer interactions, you can use automated tools to easily route conversations to the right agents based on a range of factors. This reduces the need for constant call transfers that can harm customer experiences.

Enhanced Business Insights

Finally, customer service automation tools are fantastic for collecting and processing valuable insights into your customers and your company’s performance. With automated solutions, you can track common topics of conversation in the contact center, identifying your customers’ core pain points and goals. This leads to enhanced, data-driven customer experience strategies.

Companies can use automated solutions across various channels in the contact center to gather in-depth insights into the customer journey. You can even use automated solutions to collect valuable “voice of the customer” information through automated surveys and questionnaires.

The more data you gather with AI and automated tools, the more effectively you can optimize the customer and employee experience while reducing unnecessary costs in your organization.

Also Read: The Price of a Frown: Bad Customer Experiences Cost Businesses Billions

Invest in Customer Service Automation This Year

Automated customer service solutions empower companies to accomplish more with less. With the right tools, you can deliver more consistent, effective support. Plus, you can also reduce operational costs and enhance employee engagement.

Although it’s important to be cautious when implementing an automation strategy, investing in the right tools can facilitate rapid business growth and give you an edge over the competition.

If you want to accomplish more with less in your contact center, now could be the perfect time to invest in customer service automation.

The post Automate Customer Service: 6 Reasons to Invest in AI appeared first on MartechView.

The post How Can Businesses Adapt to Changing Market Conditions? appeared first on MartechView.

Live commerce, a captivating blend of live streaming and online shopping, has taken the world by storm. It’s revolutionizing how we shop, offering an immersive and interactive experience transcending traditional E-commerce. But what exactly is live commerce, and how can it benefit you? This comprehensive guide delves into live commerce, exploring its key aspects, benefits, and future potential.

What is Live Commerce?

Imagine watching a charismatic host showcase a new fashion collection, demonstrating its features, answering real-time questions, and offering exclusive deals. That’s the essence of live commerce! It sells products through live video streams, with viewers engaging directly with the host and other viewers. This interactive experience fosters community, excitement, and urgency, often leading to increased sales and brand loyalty.

Key Elements of Live Commerce

• Live Stream: The heart of live commerce is the real-time video broadcast, where the host interacts with viewers and showcases products.
• Product Display: Products are presented engagingly, often through demonstrations, close-up shots, and model showcases.
• Interactive Features: Live chat, Q&A sessions, polls, and giveaways encourage viewers to participate and build community.
• Call to Action: Clear prompts encourage viewers to purchase products during the stream, often with limited-time offers or exclusive discounts.

Benefits of Live Commerce

• Increased Engagement: Unlike static product pages, live streams capture viewers’ attention and keep them entertained, leading to longer session times and higher conversion rates.
• Building Trust: The live format lets brands showcase their products authentically and connect with customers personally, fostering trust and brand loyalty.
• Real-Time Interaction: Viewers can ask questions and receive immediate answers, creating a sense of personalization and addressing buying concerns.
• Impulse Purchases: Limited-time offers, and exclusive deals during the stream encourage impulsive purchases, boosting sales.
• Data and Insights: Valuable viewer behavior and preferences data can be gathered through live streams, enabling brands to personalize future marketing strategies.

Types of Live Commerce

• Livestream Shopping: The most common format, where brands or influencers host live streams to sell products directly.
• Interactive Demos: Experts demonstrate product features and answer real-time questions, building trust and confidence.
• Social Selling: Influencers showcase products on social media platforms like Instagram Live or TikTok, leveraging their social proof to drive sales.
• Virtual Events: Brands host online events with product launches, demos, and celebrity appearances, creating a buzz and generating excitement.

Who is Using Live Commerce?

Across industries, brands of all sizes are embracing live commerce. Fashion, beauty, and consumer electronics are prominent players, but even B2B companies are discovering their potential for product demos and showcasing expertise.

The Future of Live Commerce

With advancements in technology, live commerce is poised for further growth. Integrating AR/VR for virtual try-on experiences, AI-powered chatbots for personalized recommendations, and interactive games can enhance the shopping experience further. Live commerce is expected to become a mainstream shopping channel, seamlessly blending entertainment and commerce.

How You Can Get Involved

• Watch live streams: Explore platforms like YouTube Live, Facebook Live, and Instagram Live to experience different live commerce formats.
• Follow brands and influencers: Engage with brands and influencers conducting live commerce to ask questions and learn more about their products.
• Join the conversation: Use relevant hashtags to share your thoughts and experiences with live commerce on social media.

Conclusion

Live commerce is more than just a shopping trend; it’s a transformative experience that blends entertainment, interaction, and immediate gratification. Whether you’re a consumer seeking a more engaging shopping experience or a brand looking to reach customers in new ways, live commerce offers exciting possibilities. So, dive in, explore, and discover the future of shopping!

The post All You Need to Know: Live Commerce appeared first on MartechView.

Remember that time you had a terrible experience with a company? Maybe a rude interaction with customer service, a frustrating website, or a product that just didn’t work? Turns out, your frustration is costing businesses big bucks. A new study by Qualtrics XM Institute reveals that globally, companies are putting $3.7 trillion at risk annually due to bad customer experiences, a steep increase of 19% from last year.

That’s right, one negative interaction can mean losing a customer and their future business. Consumers reported having very negative experiences 14% of the time across various industries, from fast food to airlines. And guess what? After a bad experience, more than half (51%) stopped spending with that brand. This number jumps even higher (over 60%) for industries like fast food and delivery services, where switching is easy.

It’s not just a customer satisfaction issue anymore, it’s a financial one. Consumer trust in businesses is at its lowest point since 2016, outside of the pandemic slump. While companies are reporting slightly fewer negative experiences, the total spending at risk is higher due to increased consumer spending overall.

“The price tag on delivering a bad customer experience has surged,” says Bruce Temkin, head of Qualtrics XM Institute. “While some industries reduced the frequency of bad experiences, the cost of those mistakes has ballooned.” So, companies need to be extra cautious in 2024 or risk losing customers to competitors.

The good news? Investing in happy and empowered frontline employees pays off with better customer experiences. However, research shows these employees (cashiers, servers, etc.) often have the worst morale and feel unsupported. This contributes to high turnover, with only a third of new frontline employees planning to stay beyond three years.

So, what’s the answer? Many companies are turning to AI, hoping to ease the burden on workers and boost productivity. Employees see AI as a tool to automate routine tasks, allowing them to focus on more complex work. But there’s a catch: consumers want AI for simple tasks like checking order status but prefer human interaction for complex issues like medical advice.

“AI can be a powerful tool,” says Temkin, “but with consumer trust low and employee job security concerns, companies need to tread carefully.”

The study also reveals a shift in how customers provide feedback. While only a third offer direct feedback after a bad experience, many express their frustration indirectly through calls, chats, reviews, and social media. AI can analyze this unstructured data, giving companies a richer understanding of customer needs and expectations.

Also Read: How Sweat Economy Revolutionizes Customer Loyalty through Rewarding Physical Activity

The bottom line? Happy customers equal healthy businesses. By investing in empowered employees, using AI responsibly, and listening to direct and indirect feedback, companies can avoid the high cost of a frown and build long-term customer loyalty.

The post The Price of a Frown: Bad Customer Experiences Cost Businesses Billions appeared first on MartechView.

2023 has seen the emergence of AI-driven contact centers, transforming the world of customer service. As we move into 2024, the race is on for businesses to adopt and capitalize on the opportunities the technology presents. Integrating AI into contact centers is more than a trend. It’s a watershed moment that will redefine customer engagement and operational efficiency. From AI-powered chatbots handling routine inquiries to sophisticated analytics predicting customer behavior, the influence of AI is a game changer.

This integration, however, raises the question: What is the return on investment (ROI) for deploying AI technologies in contact centers? Understanding the ROI is essential for businesses to measure AI’s financial impact and value in terms of enhanced customer experience, operational improvements, and long-term business growth.

Let’s look into the ROI of AI in contact centers, reviewing financial, operational, and experiential returns. We will explore how AI’s capabilities translate into measurable outcomes, the challenges and considerations in quantifying its benefits, and the broader implications for the future of customer service.

Understanding AI in Contact Centers

AI Technologies in Contact Centers

• Chatbots and Virtual Assistants: Chatbots, powered by AI, have revolutionized how contact centers handle inquiries. These virtual assistants can interact with customers in natural language, responding instantly to common queries. They can also escalate complex issues to human agents, ensuring a seamless service experience.
• Voice Recognition and Natural Language Processing (NLP): Voice recognition technology, coupled with NLP, enables contact centers to understand and process customer queries through spoken language. This technology transforms voice into actionable data, facilitating more natural and efficient customer interactions.

Also Read: Forget the ESP! 4 Email Marketing Initiatives That Drive Real Growth

• Predictive Analytics: AI-driven predictive analytics use historical data to forecast future customer behaviors and trends. By analyzing patterns in customer interactions, contact centers can proactively address potential issues and tailor their services to meet evolving needs.
• Automated Routing and Decision-Making: AI algorithms can intelligently route customer queries to the most appropriate agent or department based on the nature of the inquiry and the agent’s expertise. This optimizes response times and improves the accuracy of issue resolution.
• Sentiment Analysis: Through sentiment analysis, AI systems can gauge the emotional tone behind customer interactions. This insight allows contact centers to understand customer satisfaction better and tailor their responses accordingly.

Enhancing Customer Service and Operational Efficiency

• Improved Response Times: AI technologies like chatbots and automated routing significantly reduce customer wait times, leading to quicker resolutions and enhanced satisfaction.

Also Read: 8 Top Contact Center Metrics You Need to Track for Exceptional CX

• 24/7 Service Availability: AI-driven solutions enable contact centers to provide round-the-clock service, ensuring customer inquiries are addressed outside traditional business hours.
• Personalized Customer Interactions: By leveraging data analytics, AI can help personalize interactions based on a customer’s history and preferences, providing a more engaging and satisfying customer experience.
• Increased Operational Efficiency: AI automates routine tasks, freeing human agents to handle more complex issues. This increases the contact center’s efficiency and allows agents to focus on areas where human empathy and understanding are crucial.
• Data-Driven Insights for Continuous Improvement: AI technologies generate and analyze a wealth of data that offers valuable insights for improving service strategies, agent training, and overall operational protocols.

Measuring the ROI of AI in Contact Centres

AI vs. Human Agent Metrics

It’s important to distinguish between the ROI metrics for AI technologies and human agents. While AI technologies, like virtual agents, offer scalability and efficiency in handling routine tasks, human agents excel in dealing with more complex interactions. Recognizing this difference is key to accurately measuring and understanding the ROI of AI in contact centers.

Also Read: The Personalization Revolution: Compliance and Customer Delight in the Age of AI

Conversation Analytics and Simultaneous Interaction Handling

AI technologies revolutionize customer service by handling multiple interactions simultaneously, something human agents cannot do. This scalability significantly enhances operational efficiency and customer satisfaction. Conversation analytics can track AI and human agents, but it’s important to cluster these separately for precise ROI assessment. AI’s ability to manage high-volume tasks without compromising quality is crucial in measuring its financial impact.

AI-Specific KPIs and Efficiencies

The efficiency and effectiveness of AI technologies are often captured through specific Key Performance Indicators (KPIs) that differ markedly from those used to evaluate human agents. Among these are metrics like reduced Average Handling Time (AHT) and improved First Contact Resolution (FCR). These AI-specific KPIs offer a window into how AI technologies reshape the customer service landscape, drive cost savings, and enhance operational efficiency.

Reduced Average Handling Time (AHT)

AHT, a critical metric in contact centers, measures the average duration of customer interactions. AI technologies, especially chatbots and virtual assistants, have been instrumental in reducing AHT. This reduction is largely due to AI’s ability to handle routine inquiries quickly and efficiently, thus freeing up human agents to address more complex issues. The impact of AI on reducing AHT is quantifiable and significant. By automating responses to frequently asked questions and routine tasks, AI-driven systems can process queries in a fraction of the time it would take a human agent, leading to a substantial decrease in overall AHT.

Improved First Contact Resolution (FCR)

FCR measures the percentage of customer queries resolved during the first interaction. AI technologies excel in this area by providing accurate, instant responses to customer inquiries. Enhanced with machine learning and access to extensive knowledge bases, AI systems can often resolve common issues without escalating them to human agents. The improvement in FCR boosts customer satisfaction and demonstrates AI’s efficiency in contact center operations. AI’s ability to improve FCR is particularly noticeable in its capacity to quickly analyze and understand customer queries, leveraging data to provide precise and relevant solutions.

Also Read: Cloud Data Warehouses: Rethinking the Martech Stack for the Future

Quantifying AI-Specific Efficiencies

Quantifying these efficiencies involves tracking and analyzing the performance of AI systems in real-time. This can be done through specialized analytics tools that monitor AI interactions, comparing them against benchmarks set for human agents. For example, contact centers can measure the reduction in AHT and improvements in FCR before and after AI implementation to gauge its impact. Additionally, customer satisfaction surveys can be used to assess the effectiveness of AI in resolving queries to the customer’s satisfaction.

Differentiating from Traditional Human Agent Metrics

While AHT and FCR are also relevant for human agents, the benchmarks and expectations differ. Human agents are generally expected to handle more complex, specialist interactions, which might naturally result in longer handling times and varied FCR rates. In contrast, AI is typically deployed for efficiency in high-volume, repetitive tasks, leading to inherently different performance metrics. Understanding these differences is crucial for contact centers to set realistic goals and accurately assess the performance and ROI of AI technologies.

Human Agents’ Role and Different KPIs

Unlike AI, where efficiency and speed are key, human agents’ metrics shift towards customer satisfaction, problem-solving effectiveness, and the quality of the interaction. Here, we discuss human agents’ invaluable contributions and the KPIs that best reflect their role in ensuring high-quality customer service.

Emphasis on Customer Satisfaction and Engagement

For human agents, customer satisfaction emerges as a primary metric. It encompasses resolving the customer’s issue and how the interaction made the customer feel. This is especially important in complex scenarios requiring empathy, understanding, and creative problem-solving. Human agents can form connections, display empathy, and adapt their responses to each customer’s emotional state and specific needs, enhancing customer engagement and loyalty.

Also Read: Cloud Data Warehouses: Rethinking the Martech Stack for the Future

Problem-Solving Effectiveness

Human agents often face complex, unscripted problems that AI cannot adequately address. The effectiveness with which agents resolve these intricate issues is a critical KPI. This metric goes beyond the mere resolution of a problem to encompass the quality of the solution and the creativity and resourcefulness employed by the agent. It also includes the agent’s ability to handle unexpected questions or issues, providing tailored solutions that reflect a deep understanding of the customer’s situation.

Quality of Interaction

Quality of interaction is another vital metric for human agents. This KPI assesses the overall quality of the communication between the agent and the customer, considering factors like clarity of communication, politeness, understanding of the customer’s needs, and the ability to provide a reassuring and positive experience. Quality interactions are often the cornerstone of building long-term customer relationships and brand loyalty.

Balancing Efficiency with Effectiveness

While efficiency metrics like AHT are less emphasized for human agents, there is still a need to balance efficiency with effectiveness. Agents are encouraged to manage their time wisely, but not at the expense of the quality of customer interactions. This balance is key in ensuring that the contact center operates smoothly without compromising the quality of service.

The Synergy of AI and Human Agents

It’s important to note that a contact center’s success lies in the synergy between AI and human agents. While AI handles routine inquiries efficiently, human agents excel in areas requiring deeper interaction and emotional intelligence. This complementary relationship maximizes the center’s overall efficiency and effectiveness, ensuring a high-quality customer service experience across all types of interactions.

Also Read: Crafting Memorable CX: Data-driven Strategies in a Privacy-first World

In conclusion, human agents’ role in contact centers remains irreplaceable. They focus on metrics that emphasize customer satisfaction, problem-solving effectiveness, and quality of interaction. Understanding and valuing human agents’ unique contributions is essential for the holistic success of AI-integrated contact centers.

Integrated ROI Analysis

An integrated approach that encompasses both AI and human agent contributions is crucial to effectively measure the Return on Investment (ROI) in AI-integrated contact centers. This holistic method of ROI analysis recognizes the diverse impacts of AI and human interactions, going beyond mere cost savings and efficiency gains to include evaluations of customer satisfaction and service quality. Here, we reveal the method for combining AI-specific metrics with traditional human agent metrics, providing a comprehensive understanding of the contact centre’s overall performance.

Combining Efficiency and Quality Metrics

The first step in integrated ROI analysis is to amalgamate efficiency metrics, such as Average Handling Time (AHT) and First Contact Resolution (FCR) from AI systems, with quality-centric metrics from human interactions, like customer satisfaction scores and problem-solving effectiveness. This combination acknowledges AI’s speed and volume handling capabilities while valuing the depth and quality of human interactions.

Cost-Benefit Analysis

Incorporating a cost-benefit analysis is essential in understanding the financial impact of AI integration versus human labor. This analysis should consider the initial and ongoing costs of AI implementation, including technology acquisition, maintenance, and upgrades, against the cost savings from reduced staff requirements and operational efficiencies. Simultaneously, it should account for the investment in human agents, including training, salaries, and other related expenses, and balance these against the qualitative benefits they bring, such as enhanced customer loyalty and brand reputation.

Customer Satisfaction and Service Quality Evaluation

Customer satisfaction and service quality are pivotal in assessing ROI. Surveys, feedback mechanisms, and sentiment analysis tools can be used to gather data on customer experiences with both AI and human agents. This data provides insights into how well the contact center meets customer needs and expectations. To gain a complete picture of performance, it is important to correlate these qualitative metrics with quantitative data like resolution times and call volumes.

Also Read: From Contact to Knowledge Center – What’s Next?

Longitudinal Analysis for Trends and Patterns

Performing a longitudinal analysis over time allows for observing trends and patterns in AI and human agent performance. This analysis can reveal how changes in technology, agent training, or operational strategies impact overall ROI. It also helps predict future performance and ROI based on current trends.

Benchmarking Against Industry Standards

Comparing the contact centre’s performance with industry benchmarks offers an external perspective on the effectiveness and efficiency of both AI and human agents. This benchmarking can highlight areas of strength and opportunities for improvement, ensuring that the contact center remains competitive and aligned with industry best practices.

Regular Review and Adjustment

Finally, an integrated ROI analysis should be an ongoing process with regular reviews and adjustments. As technology evolves and customer expectations change, the metrics and methods used in ROI analysis may need to be updated. This iterative process ensures the analysis remains relevant and aligned with the contact centre’s strategic objectives.

The post Why Investing in AI for Customer Service is a Win-Win appeared first on MartechView.

Looking back to 1952, a small burger stand in California purchased eight Prince Castle milkshake machines capable of simultaneously producing at least five milkshakes. At that time, those machines were a strange investment for a shop of that level. So, the sales rep from Prince Castle went to the shop to check what was happening. 

He discovered that the café had restructured the customer experience to spin around effectiveness and item quality. The shop was altered to fit the natural workflow of the employees, and the milkshake machines were producing 40 milkshakes at a time.

That little burger stand is now known as McDonald’s, one of the largest food chains in the world. How did the burger chain prevail at such a gigantic level? The answer is simple. In addition, they utilized savvy client assistance apparatus royalty programs and simplified a client’s ordering journey at their outlets. 

One of their most recent tools to make their customer’s ordering experience more straightforward was introducing self-assistance machines in numerous outlets worldwide. Using those machines, clients can simply stroll into a McDonald’s outlet, place an order using the touch screens installed in the restaurant, pay right there, and collect their order from the counter – without having to come face to face with another person.

Numerous organizations likewise utilize simplified interactive tools to simplify their client’s buying journey. 

Let’s take the example of Sephora. The multinational retailer has started providing its customers solutions via Facebook Messenger or WhatsApp—applications that individuals use to chat with their friends and family consistently—which helps representatives answer queries in a much more contextual and personalized way. 

As per a Facebook study, 53% of respondents said they are more likely to buy from a company that provides customer service via WhatsApp or Facebook Messenger chat than one that doesn’t. According to Zipwhip, many clients ignored phone calls from companies. They’d rather speak by text than over the phone. 

Audio streaming and media service provider Spotify also has an intelligent framework. The streaming goliath utilizes its official Twitter account to respond to followers’ questions when using the app or making subscriptions. It additionally urges clients to demand new songs via Twitter so its team knows what type of songs to add to the platform in the future. This way, the organization can hold and draw in new clients.

A new interesting tool related to gamified elements has also taken customer experience by storm. Gamification takes boring activities, such as filling out a form or putting in longer details, and transforms them into fun, intelligent encounters. This keeps customers drawn to a brand even when they request them to finish a review or take care of a bill. Along these lines, it is worth adding gamified elements throughout the pre and post-purchase journey.

For instance, fast-food chain Tim Horton recently upgraded its loyalty plan to add gamified elements to its mobile app. Now, customers can play games and level up while they work towards earning rewards that they can redeem at Tim Horton’s restaurants. This is an interesting way to keep the brand in mind and encourage customers to return to the business, even though the games don’t directly relate to Tim Horton’s products.

Speaking of mobile apps, we all know smartphones are an integral part of our day-to-day routines. Research by Sweor shows that 57% of people won’t recommend a brand to others if it has a poor website or app. Besides, 50% of people will also stop interacting with a website if they don’t like its products and services. This makes the online store experience as significant as the physical store experience.

Recently, Nike created a self-service experience in one of its stores by offering a new app called the “Speed Shop.” It was intended to permit clients to purchase Nike items in stores without anyone’s assistance. Customers would simply download the app, scan product barcodes, and then confirm their purchase digitally on their way out the door. This simplifies the client’s shopping journey. 

For a socially-distanced shopping experience – due to the pandemic — video calling is also a tool to improve a client’s experience. Options such as virtual tours, product demonstrations via Zoom, and model tryouts (in the case of a clothing brand) are great ways to increase sales. According to Tubular, 57% of clients feel more confident after looking at a demo with their own eyes. 

In today’s world, interaction is key. From customized suggestions to AI-generated content, a growing number of Martech tools are available for client-driven brands to help consumers with their buying journey.

There are many more tools, such as quick responses via email for customer service, chatbots on websites, co-browsing to help clients resolve an issue, live chats, customer surveys, and 24×7 automated assistance, among others, to help clients with their buying journey. 

Carefully designed responses and knowledge base are also crucial to a shopping experience. The design and content present in a website’s documents, guides, and FAQs should have easy-worded information that helps clients figure out a complicated situation on their own.

The post From McDonald’s to Nike, Brands Embrace Customer Control appeared first on MartechView.

For companies, the shirt, the shoe, or anything else that did not fit the customer’s bill could be a trillion-dollar problem, involving logistical nightmare and even wastage.  The phenomenon of online sales in the last two decades has gained massive favor over long, unwinding queues at retailers. While this explosive growth has come with numerous benefits, it has also amplified one of the largest problems of eCommerce – returns. 

There are many channels through which customers return the items they did not like. Perhaps the most dreaded way is when an item purchased online is returned to a store for convenience. 

Buy online, return in-store, or BORIS is an omnichannel retail policy that allows consumers to make online purchases and, if unsatisfied with the product, return it to the brick-and-mortar store instead of shipping it back.

When people don’t touch things before shopping, they tend to send a lot of that stuff back. For omnichannel retail, dealing with these returns has become a separate industry.

Somewhere, the companies feed the problem with free shipping, free returns, and constant discount codes, which invariably promote incessant buying. Last year, retailers from the US took back $102 billion worth of merchandise purchased online, according to the National Retail Federation. Overall, $428 billion worth of merchandise was returned.

Logistical nightmare

The average return rate of BORIS items ranges from 15% to 30%. For clothing, the rate could shoot up because of bracketing – a practice that involves making purchases in the wrong size.

Figuring out what to do with unwanted items is a laborious task that consumes much of the company’s workforce potential. Workers at the sorting facilities have to discern the differences between the items – they need to understand if they are used, clean, or salvageable to decide their future.

In most cases, things just pile up. At the same time, some items are dissected for valuable parts, and in most circumstances, they are destroyed. 

A prime example of this phenomenon was witnessed in June 2021, when British Channel ITV discovered how Amazon destroyed millions of unused products yearly. While undercover at the Dunfermline fulfillment center in Scotland, the channel saw that 124,000 items were marked as “destroyed.” Only 28,000 items were set aside for donation.

Several companies need help getting returned products into the sales stream of new products. Donations are few because they could hamper a brand’s value. For instance, if a company is seen too frequently giving away its products for free, consumers might develop a negative attitude towards the brand – they may not want to spend on things given away for free.

Tech solutions

Companies could use data to optimize returns. It may involve the creation of a return protocol that includes data-driven software and algorithms to help sales employees determine how to handle returns. For instance, the returned items should be tagged in such a way that by merely scanning, it should tell whether the product should be resold or marked out.

Furthermore, having a centralized inventory can help the firm offer product replacements. For instance, retailers like Target often rely on data and centralized inventory to offer product replacement suggestions to consumers, instant refunds, store credits, or discounts on similar products. These features include the probability of the shoppers replacing their returned item with another purchase instead of demanding returns. If the software is integrated with artificial intelligence, it can analyze the data and tell the retailer to make the most revenue from the replacement. 

Making transaction history available at all times is another key feature that retailers can adopt. A return policy involves the provision of a receipt as proof. A customer may be unable to locate the receipt while returning the product; thus, digitizing them by making them available by email or app is the way forward.

The companies can also use cloud-based financial services and returns management solutions. Several US-based startups like Happy Returns and ShipBob provide the reverse logistics to mitigate problems arising from BORIS without hampering the customer experience. 

Some firms can process immediate refunds for products purchased online but returned in person. These companies can link users to stores, carriers, and customer relationship management platforms. 

BORIS and the wastage that it causes are complete loss-making mechanisms for companies. But, making BORIS has its benefits. The ease that it offers may attract more consumers to the business. Thus, with the help of some technological help, BORIS can be considered an omnichannel strategy that allows retailers to take advantage of the synchronicity between their online and brick-and-mortar businesses.

The post Buy Online, Regret Later? Unraveling the Logistical Nightmare of BORIS Returns appeared first on MartechView.