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The Key to Enhancing Customer Loyalty in a Competitive Retail Market

Ritu Dubey
Digitate

Customer loyalty is changing as retailers get increasingly competitive. More than 75% of consumers say they would end business with a company after a single bad customer experience. This means that just one price discrepancy, inventory mishap or checkout issue in a physical or digital store, could have customers running out to the next store that can provide them with better service. Retailers must be able to predict business outages in advance, and act proactively before an incident occurs, impacting customer experience.

Retailers must be able to predict business outages in advance, and act proactively before an incident occurs, impacting customer experience

Intelligent Automation tools, such as artificial intelligence for Business and IT operations (AIOps), are a key way retailers can create horizontal and vertical visibility of their retail business processes, and transactions, ensuring daily retail readiness and elimination of system failures.

A common business process lead-IT visibility and control delivers the predictability and assurance required by business. By leveraging these technologies, retail IT teams can spend more time focusing on innovations in the customer journey, that can bring in more customers and less time resolving incidents.

The Road to Superb CX Faces Hurdles

While the pandemic created a surge in online shopping, many consumers still prefer human connection and we're already seeing a shift back to brick-and-mortar shopping. Retailers must use various strategies to keep their customers coming back, from financial incentives to top-tier customer service and more. But when retailers don't deliver to customers' high standards, their strategies can easily backfire.

For example, let's say a customer finds an online coupon for a product at their favorite store and decides to pick up five units. Upon checking out, the cashier informs them that the coupon isn't working and spends a few minutes trying to find the issue before raising a ticket. Since the customer was waiting too long, they decide to leave the store and purchase from a competitor who offers the same product at a lower cost. Behind the scenes, this discrepancy could have been a minor IT issue on the retailer's end, but the customer will view it as the retailer failing to deliver a promised discount.

Digital systems, like ERP and CRM, power the retail industry and it's critical that they continue running without disruptions. As we saw with our customer example, each second of downtime takes away from the customer experience (CX), leaving customers frustrated and decreasing brand value in the market.

This means IT teams must find and fix issues quickly and effectively. However, considering how today's IT systems generate thousands of tickets per second, doing this manually would be impossible.

AIOps to the Rescue

Retailers need tools that can help them solve issues proactively rather than reactively to avoid losing customers and tarnishing their brand reputation. AI and automated technologies, like AIOps, are retailers' golden ticket to securing more customers and beating their competition.

AIOps technologies leverage the power of machine learning, big data and other analytics tools to strengthen IT operations through business function monitoring and business transaction monitoring by building common visibility of business processes and business transactions enabling end to end control of operations and high business assurance, thereby driving a highly predictable and autonomous enterprise. These tools can find the root cause of an IT issue and immediately notify teams. From there, they can suggest the most effective way to permanently fix the problem and do so autonomously and without human intervention required. They can also learn from historical trends to predict future failures and provide preventative steps for proactively getting ahead of an incident.

If a customer's online coupon isn't working at checkout, an AIOps system might find that the root cause is a price and promotion data reconciliation problem and self-heal it in seconds, without a need for IT involvement. As a result, the customer will leave happy and would be likely to come back.

The Future of Retail is Digital

With so many brands competing for the same thing, consumers expect a positive and frictionless experience, whether that be online or in store. By leveraging AI and automation-based tools, retailers can feel confident that they are providing an excellent customer experience on repeat and without failure. In a digital-first era, retailers with seamlessly operating technologies will be the ones to lead the market.

Ritu Dubey is Global Head of New Business Sales and Market Development at Digitate

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The Key to Enhancing Customer Loyalty in a Competitive Retail Market

Ritu Dubey
Digitate

Customer loyalty is changing as retailers get increasingly competitive. More than 75% of consumers say they would end business with a company after a single bad customer experience. This means that just one price discrepancy, inventory mishap or checkout issue in a physical or digital store, could have customers running out to the next store that can provide them with better service. Retailers must be able to predict business outages in advance, and act proactively before an incident occurs, impacting customer experience.

Retailers must be able to predict business outages in advance, and act proactively before an incident occurs, impacting customer experience

Intelligent Automation tools, such as artificial intelligence for Business and IT operations (AIOps), are a key way retailers can create horizontal and vertical visibility of their retail business processes, and transactions, ensuring daily retail readiness and elimination of system failures.

A common business process lead-IT visibility and control delivers the predictability and assurance required by business. By leveraging these technologies, retail IT teams can spend more time focusing on innovations in the customer journey, that can bring in more customers and less time resolving incidents.

The Road to Superb CX Faces Hurdles

While the pandemic created a surge in online shopping, many consumers still prefer human connection and we're already seeing a shift back to brick-and-mortar shopping. Retailers must use various strategies to keep their customers coming back, from financial incentives to top-tier customer service and more. But when retailers don't deliver to customers' high standards, their strategies can easily backfire.

For example, let's say a customer finds an online coupon for a product at their favorite store and decides to pick up five units. Upon checking out, the cashier informs them that the coupon isn't working and spends a few minutes trying to find the issue before raising a ticket. Since the customer was waiting too long, they decide to leave the store and purchase from a competitor who offers the same product at a lower cost. Behind the scenes, this discrepancy could have been a minor IT issue on the retailer's end, but the customer will view it as the retailer failing to deliver a promised discount.

Digital systems, like ERP and CRM, power the retail industry and it's critical that they continue running without disruptions. As we saw with our customer example, each second of downtime takes away from the customer experience (CX), leaving customers frustrated and decreasing brand value in the market.

This means IT teams must find and fix issues quickly and effectively. However, considering how today's IT systems generate thousands of tickets per second, doing this manually would be impossible.

AIOps to the Rescue

Retailers need tools that can help them solve issues proactively rather than reactively to avoid losing customers and tarnishing their brand reputation. AI and automated technologies, like AIOps, are retailers' golden ticket to securing more customers and beating their competition.

AIOps technologies leverage the power of machine learning, big data and other analytics tools to strengthen IT operations through business function monitoring and business transaction monitoring by building common visibility of business processes and business transactions enabling end to end control of operations and high business assurance, thereby driving a highly predictable and autonomous enterprise. These tools can find the root cause of an IT issue and immediately notify teams. From there, they can suggest the most effective way to permanently fix the problem and do so autonomously and without human intervention required. They can also learn from historical trends to predict future failures and provide preventative steps for proactively getting ahead of an incident.

If a customer's online coupon isn't working at checkout, an AIOps system might find that the root cause is a price and promotion data reconciliation problem and self-heal it in seconds, without a need for IT involvement. As a result, the customer will leave happy and would be likely to come back.

The Future of Retail is Digital

With so many brands competing for the same thing, consumers expect a positive and frictionless experience, whether that be online or in store. By leveraging AI and automation-based tools, retailers can feel confident that they are providing an excellent customer experience on repeat and without failure. In a digital-first era, retailers with seamlessly operating technologies will be the ones to lead the market.

Ritu Dubey is Global Head of New Business Sales and Market Development at Digitate

Hot Topics

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

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