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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

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Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

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Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...