Minty, the AI-powered cashback and rewards platform, has become the first app of its kind available inside ChatGPT, surfacing deals and cashback offers directly within shopping conversations rather than requiring users to navigate to a separate product page.

The integration allows Minty members to access offers in real time as they research and evaluate products within ChatGPT, with relevant cashback and rewards appearing automatically at the point in the conversation where a purchase decision is most likely to occur. Setup requires a one-time connection through ChatGPT’s Apps directory.

The launch comes as AI-driven shopping behavior accelerates. According to research cited by the company, 70% of US shoppers are already using or exploring AI tools to find better deals — a shift that is beginning to reshape how brands think about product discoverability beyond traditional search.

“Shopping is evolving from a search-driven experience into a conversation-driven one,” said Jon West, co-founder and chief executive of Minty. “By integrating the Minty AI shopping companion with ChatGPT, we’re meeting consumers exactly where decisions are being made. At the same time, we’re giving brands and agencies a direct, performance-driven way to participate in those moments at scale — creating value for everyone in the ecosystem.”

For brands and retail media partners, Minty frames the integration as a guaranteed presence inside ChatGPT conversations at the moment of purchase intent — a distinction it draws against content strategies that aim for visibility without certainty of placement.

Also Read: Clarity Is Marketing’s Most Valuable Asset

Collin Colburn, VP of commerce and retail media at the IAB, said the launch reflected a broader shift in how the industry was approaching influence and conversion. “We’re starting to see new approaches to integrating offers, incentives, and commerce signals directly into conversational environments,” he said.

Once connected, Minty can be accessed in any ChatGPT conversation through the tools menu or by mentioning the app directly in the chat.

The post Minty Brings Cashback Offers Inside ChatGPT Chats appeared first on MartechView.

Appian has announced a set of platform enhancements designed to make AI agents more reliable and controllable in enterprise environments, including AI-assisted spec-driven development, Model Context Protocol integration, and a new technology partnership with Snowflake.

The announcements, made at Appian World 2026 in Orlando, reflect a consistent strategic argument the company has been making: that the primary barriers to AI value in enterprise settings are not model capability but fragmented data, lack of structure, and insufficient control. Appian’s approach anchors AI agents within defined process models, which the company says provide the guardrails needed to operate safely at scale.

The platform’s AI agents are being enhanced in two significant ways. First, by adopting the Model Context Protocol standard, Appian agents will be able to interface securely with external enterprise systems, while third-party AI agents will gain access to Appian’s data fabric, which provides unified read-write access to enterprise data across systems. Second, the platform will allow users to track agent performance over time and apply learned memory across processes to improve decision-making, with the ability to set optimization objectives and receive improvement recommendations for review before application.

Also Read: Three Myths That Are Keeping Brands Away From AI

The Snowflake partnership connects Appian’s process orchestration and data fabric directly with Snowflake’s AI Data Cloud through MCP integration, combining data aggregation, model training and process execution. The integration allows agents to interact with Snowflake Cortex AI to surface data-backed decisions within live workflows.

“Enterprises don’t need more AI experiments; they need AI that delivers real business outcomes on governed data,” said Baris Gultekin, VP of AI at Snowflake. “By combining Appian’s process orchestration and data fabric with the Snowflake AI Data Cloud, we’re bringing intelligence directly into the flow of work. Together, we enable secure, enterprise-grade AI where agents can access trusted data through Cortex AI, act with context, and drive measurable impact across the business.”

The second major announcement is AI-assisted spec-driven development, which Appian describes as a response to the limitations of standard AI code generation in mission-critical environments. Rather than generating code directly, the approach uses AI to extract specifications from legacy applications, producing a visual plan covering user interface, data models and process flows. Developer agents then complete tasks according to those specifications under human supervision. New developer MCP servers will allow teams to use external AI development tools — including Claude Code and Kiro — to build and update Appian applications, with support for a broad range of AI models.

“Composer complements Appian’s agentic orchestration and data fabric with new spec-driven development tools that are both conversational and iterative,” said Mike Beckley, chief technology officer and founder of Appian. “Beneath the covers, Appian Composer is built on Appian’s new open MCP — a model-driven representation of your complete application estate — now exposed as context for developers and agents to safely evolve and optimize.”

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

Global Excel Management, a healthcare risk management company, said it is using Appian to unify its claims processes. “From initial intake to adjudication, our advanced technology will reduce redundant tasks and lessen complexity for our team members,” said Pascal Tanguay, SVP of global technology services at the company.

The enhancements announced at Appian World 2026 will be available in the coming platform releases.

The post Appian Brings Structure to AI Agents in the Enterprise appeared first on MartechView.

Adobe has completed its acquisition of Semrush, the brand visibility and search intelligence platform, in a move designed to extend its customer experience tools into an era in which AI agents are increasingly determining how consumers discover and evaluate brands.

The deal brings together Semrush’s search engine optimization capabilities and agentic search intelligence with Adobe’s existing portfolio of content, commerce and customer engagement products — including Adobe Experience Manager, Adobe LLM Optimizer and Adobe Experience Platform. The combined offering is designed to give marketers a single integrated system covering how their brands appear across traditional search engines, large language models and AI-powered agents.

The acquisition comes as AI-driven traffic to retail sites surges. Adobe data shows AI-generated traffic to US retail sites increased 269% year over year as of March 2026, while the company says most businesses have significant gaps in how their brands appear across AI surfaces.

“The rules of brand discovery and commerce are being rewritten in real time, and marketers who aren’t optimizing for that world today will find themselves invisible tomorrow,” said Anil Chakravarthy, president of Adobe’s customer experience orchestration business. “Together with Semrush’s leading SEO platform and agentic search intelligence, Adobe will empower our customers with the full picture of how their brands show up to consumers — from discoverability in search engines and LLMs to content creation, customer engagement and conversion, all in one integrated system at scale.”

Bill Wagner, chief executive of Semrush, said the combination represented an opportunity to build a definitive platform for brand visibility in an AI-driven world. “Semrush has spent more than 17 years helping marketers scale and grow — and that mission has never been more important than it is today,” he said. “By joining Adobe, we see an incredible opportunity to help marketers ensure their brands are found, trusted and chosen at every touchpoint.”

Also Read: Three Myths That Are Keeping Brands Away From AI

Adobe framed the acquisition as part of a broader repositioning around what it calls customer experience orchestration — an approach that treats content supply chain, customer engagement and brand visibility as interconnected rather than separate functions. The company recently introduced Adobe CX Enterprise, an agentic AI system designed to bring those functions together under a single intelligence and governance layer.

Semrush customers can expect continued product investment and an expanded roadmap as the two companies integrate.

The post Adobe Acquires Semrush to Win the AI Search Battle appeared first on MartechView.

TripleLift, the programmatic advertising platform, has launched TL Spark, an intelligence layer designed to unify the core variables of advertising performance — supply, creative, audiences, measurement and optimization — into a single coordinated environment.

The launch comes as AI-driven ad spending accelerates. Advisory firm Madison and Wall projects AI-based ad spending will reach $57 billion in 2026, while IAB data shows two-thirds of ad buyers are already prioritizing agentic capabilities for both buying and execution. TripleLift argues that most solutions entering the market still optimize individual workflows in isolation, failing to learn across the full transaction.

Also Read: Push Notifications Are Broken. Here Is What Comes After Them

TL Spark attempts to solve that by connecting five capabilities: omnichannel deal curation across TripleLift’s network of more than 5,000 publishers; transformation of brand assets into high-impact creatives across display, retail media and connected TV; unified audience targeting using publisher first-party data, contextual signals and third-party sources; integrated attention, brand lift and outcome measurement with real-time optimization; and campaign performance analysis designed to drive both in-flight adjustments and longer-term strategy.

By coordinating these elements rather than treating them as separate functions, the platform is designed to learn from the interactions between creative, inventory, audiences and measurement — feeding those insights back into planning and optimization over time.

“Advertisers are being told that agents will solve everything, but most solutions still optimize workflows in isolation,” said Dave Helmreich, CEO of TripleLift. “With TL Spark, we’re introducing an intelligence layer that understands and orchestrates the full transaction — from supply discovery and creative selection to audience and measurement — so each campaign gets smarter over time.”

Also Read: Clarity Is Marketing’s Most Valuable Asset

Airey Baringer, VP of product management at TripleLift, said the platform was designed to augment human planners and traders today while laying the groundwork for more autonomous orchestration as agentic systems mature. “TL Spark combines creative, data, and quality supply into one intelligent layer so advertisers can make better decisions and optimize all aspects of their deals in unison,” he said.

TripleLift says TL Spark is designed to serve as a continuously evolving intelligence layer across the full advertising transaction — not a standalone AI feature bolted onto an existing product.

The post TripleLift Launches AI Layer to Unify Ad Buying appeared first on MartechView.

Patagonia has appointed Amanda Calder-McLaren as senior director of marketing and impact for EMEA, a newly created role that brings together the California-based outdoor brand’s storytelling and environmental and social impact work across the region.

Calder-McLaren joins from Hugo Boss, where she served as global vice president of brand communications. Her career spans nearly two decades in the outdoor and apparel industry, with senior roles at The North Face, Adidas Terrex, Technogym, and Wahoo, as well as a stint as chief marketing officer at Montirex. At The North Face, she led major brand campaigns alongside programs designed to broaden access to the outdoors.

She is also a founding member and former chair of Opening Up the Outdoors, a European collective working to address systemic barriers to inclusion across outdoor spaces and the outdoor industry.

“This role will bring greater focus to how Patagonia builds its brand and drives impact as a responsible business in EMEA, recognizing that the two are inseparable,” said Nina Hajikhanian, general manager for EMEA at Patagonia. “Amanda is a storyteller driven by purpose, with a leadership approach rooted in community.”

Also Read: Is Your CRM Making Your Customer Service Worse?

“Patagonia stands apart because it proves that profit and responsibility can work in harmony,” said Calder-McLaren. “It’s not anti-growth but anti-greed — and that ethos is what I respect so deeply. I’m proud to join as a custodian of the brand and to help carry that spirit forward across EMEA.”

Originally from London, Calder-McLaren relocated to Patagonia’s European headquarters in Amsterdam from Switzerland, where she developed a deep connection to the outdoors through skiing and time in the mountains. She took up the role on 13 April 2026.

The post Patagonia Names Amanda Calder-McLaren as EMEA Marketing Chief appeared first on MartechView.

AEON360 and Google Cloud have announced a multi-year collaboration to build an AI-driven commerce platform across AEON’s retail, finance, and lifestyle ecosystem in Southeast Asia, beginning in Malaysia.

The partnership centers on what the companies are calling a continuous commerce experience — a system designed to carry a shopper’s context, preferences, and history seamlessly across every AEON interaction, from product discovery through checkout, financing, and post-purchase support, without requiring them to re-establish their identity or preferences at each step.

At the core of the initiative is a contextual intelligence engine built on Google Cloud’s BigQuery data platform. AEON360 is using it to construct an enterprise knowledge graph that reconciles customer data across its various entities and touchpoints. In practice, a shopper searching for groceries in Kuala Lumpur would receive curated product recommendations, member pricing, and real-time stock availability drawn from their purchasing history — alongside dynamically integrated financing options such as installment plans, cashback, and loyalty points.

Also Read: Three Myths That Are Keeping Brands Away From AI

“Our ambition is to create an ecosystem that serves consumers as a cohesive, intelligent entity, so every engagement feels crafted just for them, no matter where they begin their shopping journey,” said Daisuke Maeda, chairman of AEON360. “We’re shifting from simple digital interactions to AI agents that surface the most relevant offerings and perform complex tasks on our customers’ behalf.”

To support the rollout, Google Cloud will help establish the AEON360 Innovation Foundry in Kuala Lumpur — a dedicated center designed to train AEON employees in AI fluency and equip teams across its lines of business with Google skills and certifications. The Foundry will also serve as an environment for developing and scaling agentic AI solutions across AEON’s merchant and supplier ecosystem.

The platform will deploy two AI agents built on Google’s Gemini Enterprise for Customer Experience. The first is a shopping agent that acts as a digital concierge — processing text, voice, and image inputs to autonomously build carts and execute transactions on a customer’s behalf. The second is a customer experience agent providing round-the-clock query resolution while offering real-time guidance to human representatives.

AEON360 also plans to extend its agentic commerce capabilities beyond its own digital properties by adopting the Universal Commerce Protocol, an open standard pioneered by Google that allows AI agents and retail systems to operate across different consumer surfaces, businesses, and payment providers. The company is additionally exploring integrations with Google Pay that would allow shoppers to authorize agent-led transactions across touchpoints, with payment and shipping information stored securely in Google Wallet.

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

“For too long, traditional retail technologies have created fragmented experiences where shoppers are forced to restart their journeys at every turn,” said Hana Raja, country manager for Malaysia at Google Cloud. “Our collaboration will deliver agentic commerce solutions grounded in a continuous thread of context — ensuring that information flows with the shopper to help AEON360 anticipate and act on what they need next.”

The collaboration will initially focus on Malaysia, with a roadmap to expand across other Southeast Asian markets where AEON operates.

The post AEON360 Taps Google Cloud to Build AI-Driven Retail appeared first on MartechView.

In a recent discussion with a marketing analyst, she noted that while brands are aware of AI tools and view them positively, adoption remains slow.

The primary reason is that brands often believe their data is not ready for AI tools.

This is surprising, as brands typically require minimal preparation to use AI. Many are held back by common misconceptions, which can be addressed as follows:

Myth #1: Not Enough Data

Many brands hesitate to adopt AI because they believe they lack sufficient data. This perception is understandable, as AI marketing often emphasizes processing large data sets.

However, brands do not need large data sets to benefit from AI-powered insights. Small and mid-sized businesses often have enough customer records to leverage AI for audience targeting or customer acquisition modeling.

Ideally, a brand should have 20,000 customer records to import into an AI system, though 10,000 records can still yield meaningful results. Brands with only a few hundred records may not benefit significantly, but established companies with extensive customer profiles are well positioned to begin.

Myth #2: Disorganized Data

Even when brands have sufficient data, they may hesitate due to concerns about data organization. However, many current AI tools can organize data for brands or agencies and return it in a usable format.

AI tools can enrich datasets and connect customer profiles, which is a fundamental capability. Brands may use AI solely for data organization before exploring more advanced features, allowing for a gradual approach to adoption.

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

Myth #3: Cannot Afford New Staff or Technology

A major barrier to AI adoption is the anticipated demands of integrating new tools, including concerns about staffing, training, and infrastructure.

This is based in reality. Brands have spent the past two decades navigating the integrations of buying tools and data and customer management platforms so that they can take advantage of this data-driven age. 

While it may seem that AI requires similar integration efforts, much of the process can occur within a single application. This eliminates the need for additional internal technology stacks or extensive engineering, as the necessary infrastructure is managed externally.

With app-based AI tools, training and staffing requirements are minimized. While some workflow adjustments are necessary, these tools typically do not require hiring new staff or extensive training.

Fearless Adoption

These three myths are understandable, but if they persist, they will hinder brands from embracing AI-powered advertising. Most brands are already equipped to begin using AI tools, even on a trial basis. Overcoming these misconceptions will encourage adoption and drive further innovation in marketing.

The post Three Myths That Are Keeping Brands Away From AI appeared first on MartechView.

Each week, I speak with business leaders who have invested significantly in AI and CRM, yet still see customers waiting on hold, repeating information, and leaving frustrated. Our latest research quantifies this: poor customer service in EMEA costs consumers 9.2 hours annually, more than a full working day. While AI can address these issues, applying it to fragmented systems only worsens the experience. The real solution is to rethink the systems supporting service, not just the technology layered on top.

Frontline customer service agents often lack the necessary tools and information, with only a third of organizations reporting their agents are truly empowered, according to ServiceNow’s annual CX Shift report. Despite investments in technologies like AI, many businesses undermine these efforts by failing to unify their organizations within a single CRM system.

Addressing this challenge requires a fundamental shift in CRM usage toward a connected enterprise, where departments share information effectively and CRM functions as a system of action across the business. Moving away from siloed approaches reduces customer frustration and repetition. Every customer interaction, whether proactive or reactive, can either build or erode loyalty.

The Cost of Disconnection

The research surveyed 17,335 executives, service representatives, and consumers across EMEA. It found that 47% of customers would switch brands after a single poor or slow service experience. Even in sectors where quick resolution is critical, such as banking and telecoms, issues can take three to four days to resolve.

A critical gap remains between insight and action, as businesses struggle to translate AI investments into improved customer relationships. Too often, organizations layer AI onto fragmented CRM systems, expecting a transformation that does not materialize. Siloed workflows and disparate data only accelerate negative customer experiences.

Half of the surveyed executives report deploying end-to-end CRM platforms that support the entire customer lifecycle. However, what is needed is an AI-driven service powered by CRM data, enabling seamless, efficient customer escalation.

Connected Enterprise Is the Foundation, Not Just a Goal

Notably, 76% of EMEA organizations expect progress in the next three years to result from a connected enterprise approach, compared to 51% who expect it from AI adoption alone. A truly connected CRM is increasingly viewed as the operational foundation for enhanced customer experience.

Traditional CRM systems, which most organizations have used, were designed primarily for the front office. They capture customer requests but often do not manage fulfillment, resolution, or back-office actions, which are handled by separate systems. This fragmentation forces customers to repeat themselves, as no single system provides a complete view.

Current expectations require a new approach. Sellers, service agents, field technicians, and back-office teams should operate on a unified AI-powered platform, sharing a single customer record in real time. Customer issues raised through chat should be tracked, escalated, fulfilled, and resolved without requiring the customer to repeat information.

When CRM is implemented in this manner, businesses experience stronger customer loyalty, increased agent productivity, and improved cost efficiency.

The Agent Experience Is Part of the Customer Experience

It is essential that agents have access to the right tools and data, which requires rethinking how information is shared across the organization. In most organizations, agents are hindered by fragmented systems and disconnected tools. The research found that 79% of EMEA service agents must log into three to five separate systems to resolve customer queries, and inconsistent data across these systems remains a significant challenge.

Service agents prefer to focus on complex customer issues where human assistance is essential, rather than compensating for fragmented systems. By adopting integrated systems, agents are freed from switching between platforms, administrative tasks, and searching for information across departments. Instead of investing in automation without a strategy, organizations should reimagine CRM as a connected engine that unites teams, data, and processes, enhancing the service agents provide.

When organizations implement CRM effectively, the benefits extend beyond improved service interactions. A connected, service-led CRM strategy saves time for both customers and employees, transforming fragmented touchpoints into cohesive journeys that foster trust and long-term loyalty. Customers are more likely to deepen relationships when they feel recognized and understood at every stage. Internally, teams gain shared data visibility, enabling faster decisions, more effective AI use, and meaningful human engagement where it matters most.

AI Delivers When the Plumbing Is Right

However, few organizations have integrated customer data across touchpoints to create a unified view. Only 43% of EMEA organizations surveyed have achieved this, and just 23% have broken down silos to enable seamless AI strategies that connect departments.

This highlights the need for an approach that connects data across cloud environments, departmental tools, and legacy systems, providing AI with a complete customer view before taking action. In this model, AI agents act autonomously, coordinate across departments, and operate continuously without waiting for human input.

This is the difference between AI that resolves a billing dispute at 2:00 AM without human intervention and AI that simply accelerates the same flawed experience customers already face.

Service as a Growth Engine

Organizations that implement connected CRM effectively are discovering what the cost-center perspective overlooks: when service has full visibility into the customer relationship, it becomes a revenue driver.

In practice, this allows service agents to identify upsell and cross-sell opportunities in real time. They can create quotes, manage renewals, and escalate commercial opportunities on the same platform used for service requests. Service and sales become integrated, enabling the agent who resolves an issue to also strengthen the customer relationship.

A connected, service-led CRM strategy not only reduces the nine hours EMEA consumers lose annually to resolution friction but also builds trust and encourages customers to strengthen their relationships rather than switch brands.

Curbing Repetition, for Good

When repetition is the issue, the solution can be straightforward. By establishing a connected enterprise where customer information is shared across all channels and applications, agents are empowered to deliver effective service. A single interface with a comprehensive information streamlines work. In this model, service becomes a growth driver by enhancing productivity, insight, and competitive advantage across the organization.

Investing in AI to accelerate flawed processes will not yield results. Business leaders should instead reimagine CRM as a system of action across all channels, ensuring agents can deliver, and customers no longer waste valuable time with each interaction.

The post Is Your CRM Making Your Customer Service Worse? appeared first on MartechView.

As enterprises scramble to move generative artificial intelligence from experimental pilots to the balance sheet, TELUS Digital is arriving at Adobe Summit 2026 with a potential solution for the “activation gap.”

The company, an Adobe Gold Solution Partner, plans to demonstrate a new “agentic” AI workflow at the Venetian Convention and Expo Center in Las Vegas next week. The technology is designed to solve a persistent bottleneck: the inability of large organizations to use customer insights captured in contact centers before the window of opportunity closes.

“Enterprises don’t struggle with data scarcity; they struggle with activation speed,” said Samantha Thibault, Senior Director of Digital Marketing at TELUS Digital.

The “activation gap,” as the company defines it, is the lag between a customer signal—such as a complaint or an expressed interest during a phone call—and a brand’s ability to respond with a personalized offer or solution. Currently, most of that intelligence remains “trapped” in transcripts and legacy databases.

Also Read: The Organizations That Survive Disruption Never Had to Recover From It

Closing the Loop in Real Time

At the heart of the TELUS Digital demonstration is a shift from passive data processing to active orchestration. Using a combination of custom GenAI and the Adobe Experience Platform, the workflow follows a three-step cycle:

• Extraction: AI identifies intent and emotional sentiment from live contact center audio.
• Unification: That data is instantly synced into a centralized Real-Time Customer Data Platform (CDP).
• Activation: Web experiences and loyalty programs are updated automatically via Adobe Journey Optimizer while the customer is still engaged.

By moving away from “batch processing”—where data is analyzed in large chunks days after it is collected—the company claims it can compress response latency from days to mere minutes.

Also Read: SEO Is Not Dead. But It No Longer Works Alone.

A Blueprint for Retention

The stakes for this technology extend beyond simple personalization. During a featured session on April 22, TELUS Digital will present a case study of its implementation within its parent company, TELUS.

The communications giant reportedly used the agentic ecosystem to automate customer retention workflows, employing “action loops” and continuous learning to predict and prevent customer churn.

For the modern Chief Marketing Officer, the value proposition is clear: in an era of declining brand loyalty, the winner is often the one who can reason and react the fastest.

The post TELUS Digital to Debut Agentic AI at Adobe Summit appeared first on MartechView.

Southwest Airlines, facing an increasingly competitive landscape for traveler loyalty, has overhauled its top marketing and digital ranks. The carrier announced Tuesday the appointment of Sabrina Callahan as its first-ever Chief Digital and Marketing Officer, alongside Nandika Suri, who joins as Vice President of Rapid Rewards.

The move marks a strategic shift for the Dallas-based airline, which carried more than 134 million passengers in 2025. By creating a unified digital and marketing role, Southwest aims to bridge the gap between its “Heart” branding and the technical realities of its booking and travel apps.

“This is an exciting time in Southwest’s history,” said Tony Roach, Executive Vice President and Chief Customer and Brand Officer. “Sabrina’s creative leadership will shape how our brand continues to engage with Customers in a genuine Southwest way.”

Also Read: Clarity Is Marketing’s Most Valuable Asset

Unifying the Digital Funnel

Callahan, a veteran of Hilton, Walmart, and AT&T, takes on a mandate to modernize the airline’s omnichannel experience. Her role is specifically designed to eliminate friction in the customer journey—ensuring that the experience of booking a flight is as seamless as the “legendary hospitality” passengers expect on board.

Industry analysts view the creation of this role as an admission that digital reliability is now as critical to the airline’s success as its low-cost seat inventory. As Southwest expands into new markets, Callahan will oversee the modernization of the brand’s digital platforms to support long-term growth.

Double Down on Loyalty

While Callahan focuses on the platform, Suri will focus on the people. Formerly an executive at United Airlines and Choice Hotels, Suri has been tasked with evolving Rapid Rewards, Southwest’s signature loyalty program.

Her appointment comes as airlines across the industry look to their co-branded credit card portfolios and loyalty memberships to drive high-margin revenue. Suri is expected to introduce new earning and redemption options designed to keep the airline’s “most loyal” travelers from straying to legacy competitors.

Also Read: Automated Recommendations Feel Like Surveillance

Maintaining the Maverick Status

The executive shuffle comes at a pivotal moment for the airline. Founded in 1971 to “democratize the sky,” Southwest now operates at 121 airports across 12 countries. While it remains the leading carrier for nonstop domestic travel in the U.S., the appointments suggest a recognition that “friendly and low-cost” must now be paired with “high-tech and high-value” to maintain its market share.

The post Southwest Taps New Executives to Modernize Digital Journey appeared first on MartechView.