How AI is Supporting Humans to Solve Retail’s Most Persistent Pain Points

Retailers are operating in an increasingly unforgiving environment. Shoppers expect fast, personalized, and consistent service, while retail organizations are stretched thin by staffing shortages, rising costs, and ongoing supply chain volatility. In an on-demand culture, even minor service breakdowns — an unanswered question, a long wait, an out-of-stock item — can cause today’s transactional shopper to lose trust and jeopardize a retailer's revenue.

As a result, digital transformation has shifted from a long-term ambition to a near-term necessity. Yet the retailers seeing the strongest results aren’t deploying artificial intelligence for novelty’s sake. They’re embracing human-centered approaches that combine automation with human judgment, enabling teams to work more efficiently while delivering better experiences at scale.

According to IDC’s 2026 Retail Predictions, 70 percent of large retailers will invest in data modernization and AI by 2027 to unlock new revenue opportunities. Customer service is emerging as one of the most impactful areas for these investments, where expectations are high and operational inefficiencies are especially costly.

Meeting Rising Expectations With Human-AI Support

Today’s consumers don’t think in terms of channels. They expect the brands they invest in to recognize them, understand their intent, and respond quickly, whether they're chatting online, calling a contact center, or standing in a store aisle. When that continuity breaks down, frustration follows.

Research from McKinsey shows that 71 percent of consumers expect personalized interactions, and 76 percent become frustrated when those expectations aren’t met. Delivering that level of consistency is difficult when agents and associates are juggling multiple systems, rising volumes, and incomplete information.

Human-AI experience is helping close that gap.

With AI assistance, contact center agents can surface real-time insights such as sentiment, intent, conversation summaries, and transcriptions, giving them immediate context as interactions unfold. Instead of searching across systems or asking customers to repeat themselves, agents can focus on resolving issues quickly and effectively.

This approach doesn’t remove the human element; it strengthens it. AI-powered guidance and agent assist tools reduce handle times, boost agent performance, and help ensure customers receive consistent service across every channel and entry point.

Instant, On-Demand Retail Support is Closing the Gap on the Sales Floor and Beyond

In-store service gaps remain one of retail’s most persistent challenges. When customers can’t find help, there's a very real possibility that revenue literally walks out the door. A familiar scenario plays out daily: a shopper searches for a specific product, can’t locate an associate, wanders the aisle for a few minutes, and ultimately leaves empty-handed. Multiplied across dozens or hundreds of locations, the impact on revenue and loyalty can be significant.

New support models are helping retailers close this gap without overburdening already stretched frontline teams. One innovation allows shoppers to use their phone to scan a QR code on a shelf or endcap, instantly connecting with a knowledgeable remote associate via their choice of live video, voice or chat. The customer gets immediate help with finding the right aisle, confirming inventory, comparing options, or asking follow-up questions, and can even access support in their preferred language with AI-powered translation tools. It’s an effective solution to a persistent problem and a classic win-win situation.

AI works behind the scenes to make these interactions seamless. Requests are intelligently routed while AI-powered agent assistance and knowledge provide agents with automated context like product details, inventory data, and a summary of the shopper’s request, enabling smooth and efficient conversations.

For customers, the experience feels responsive and personal. For retailers, fewer sales slip through the cracks, in-store teams are supported, and service consistency improves across locations. It’s a practical example of how instant human-AI support keeps people at the center of the experience – while empowering them with AI tools.

Reducing Retail Agent Burnout While Improving CX Consistency

Staffing is another one of retail’s enduring challenges. Human-AI support gives retailers greater flexibility to deliver exceptional customer experiences without requiring aggressive hiring in a tight labor market. Remote staffing models can support stores and contact centers during peak periods or staffing gaps while AI-driven automation relieves pressure by assisting agents during every interaction.

AI analytics and A/B testing capabilities add another layer of value and give retailers deeper insight into their AI assistance tools. This data-driven feedback loop supports better planning, stronger performance, and reduced burnout for frontline teams.

Keeping Humans at the Center

The most effective AI strategies in retail keep people firmly at the center. AI handles repetitive work, organizes information, and delivers insights at the right moment, while humans provide judgment, empathy and relationship-building.

When implemented responsibly, human-AI experiences improve both employee engagement and customer outcomes. Retail associates feel supported rather than replaced, and customers benefit from faster, more personalized service.

Retail has always been a people business. The influx of AI tools doesn’t change that. Paired with instant CX support solutions, it enables human retail associates and agents to meet rising expectations and succeed in an increasingly complex environment.

Jeff Palmer is chief revenue officer at Upstream Works, an omnichannel contact center solutions company.