The AI Adoption Challenge in Retail

The retail industry stands at a pivotal crossroads in AI adoption, with stark divides between early adopters and those still navigating the complexities of implementation. According to industry research, 50% of surveyed retail organizations have embedded AI across multiple functions, while the other half remain in pilot testing or exploration. This fragmentation underscores a critical challenge: only 20% of executives feel confident in their ability to adopt and scale AI rapidly, despite the urgency of keeping pace with competitors.

Retailers face significant hurdles, including limited clarity on measurable business value and gaps in technical expertise. HTEC’s findings reveal that these barriers are not tied to technology itself but to strategic execution. For example, 68% of organizations plan to partner with technology providers for edge-to-cloud integration, reflecting a preference for hybrid models that balance in-house capabilities with external support. However, this approach requires navigating complex workflows, such as real-time point-of-sale automation and catalog enrichment, which demand specialized knowledge.

The shift toward agentic AI—where intelligent agents streamline tasks like customer engagement, merchandising, and store operations—has further complicated adoption. Microsoft’s initiatives highlight the potential of these systems, yet retailers struggle to align them with existing infrastructure. For small and mid-sized businesses, the lack of internal expertise often makes DIY solutions impractical.

• 50% of retailers have AI embedded across multiple functions, while 50% are in early stages
• 68% of organizations plan to partner with tech providers for edge-to-cloud integration
• Only 20% of executives feel confident in rapid AI adoption

For businesses seeking to bridge this gap, workflow automation offers a tangible entry point. AI agents that answer calls, follow up with leads, and manage catalog data can alleviate immediate pain points without requiring full-scale overhauls. Agents by AIQ specializes in these solutions, providing done-for-you automation tailored to retail needs.

AI adoption in retail is not a sprint but a multi-year transformation. Research shows that falling behind could set organizations back by nearly two years, yet the path forward demands patience, partnership, and precision.

AI agents that answer your calls, follow up with leads, and take the busywork off your plate.

Solving Retail Workflow Challenges with AI

Retail organizations are at a critical inflection point, with 50% of surveyed retail organizations having embedded AI across multiple functions, while the other 50% remain in pilot testing or exploration (https://htec.com/insights/reports/executive-summary-the-state-of-ai-in-retail-2025-2026/). This split suggests significant market opportunity for AI implementation partners. As retailers seek to leverage AI to solve workflow challenges, they are turning to technology partners to help them integrate AI across their operations. In fact, 68% of retail organizations plan to partner with technology providers for edge-to-cloud integration (https://htec.com/insights/reports/executive-summary-the-state-of-ai-in-retail-2025-2026/).

One key area where AI is making a significant impact is in conversational commerce. Microsoft's agentic AI capabilities, such as Copilot Checkout, enable purchases to be completed directly within a conversation interface (https://news.microsoft.com/source/2026/01/08/microsoft-propels-retail-forward-with-agentic-ai-capabilities-that-power-intelligent-automation-for-every-retail-function/). This shift towards "conversion-at-the-moment-of-intent" commerce is transforming the way retailers interact with customers. Additionally, NIQ's AI tools for retail space planning and merchandising have enabled planograms to be created up to 50 times faster (https://www.martechcube.com/niq-launches-ai-tools-for-retail-space-planning-and-merchandising/).

To address retail workflow challenges, AI can be applied in several key areas, including:

• Conversational commerce, such as Copilot Checkout, to enable seamless purchases within conversation interfaces
• Catalog enrichment, such as Microsoft's catalog enrichment agent, to automate catalog tasks and provide personalized product recommendations
• Store operations automation, such as Microsoft's store operations agent, to provide on-demand assistance and analyze internal and external factors to recommend staffing and operational priorities

These applications of AI can help retailers streamline their operations, improve customer experiences, and drive business growth. By partnering with technology providers, retailers can leverage AI to solve workflow challenges and stay ahead in a rapidly evolving market. Only 20% of executives feel confident in their ability to adopt and scale AI quickly (https://htec.com/insights/reports/executive-summary-the-state-of-ai-in-retail-2025-2026/), highlighting the need for done-for-you AI solutions that integrate with existing infrastructure. With the right AI solutions in place, retailers can focus on what matters most - delivering exceptional customer experiences and driving business success. To get started, retailers can book a call to scope out an AI agent that meets their specific needs and solves their unique workflow challenges.

Implementing AI in Retail: A Done-for-You Approach

According to industry research, half of surveyed retail organizations have embedded AI across multiple functions, while the other half remain in pilot testing or exploration. That split isn't a technology gap — it's an execution gap.

The same research shows retail leaders estimate falling behind on AI would set their organizations back by nearly 2 years on average, yet only 20% believe they can adopt and scale AI rapidly. The primary obstacles aren't the tools; they're limited clarity on measurable business value and gaps in technical expertise. This is precisely where a done-for-you approach changes the equation.

The HTEC report also found that 68% of retail organizations plan to partner with technology providers for edge-to-cloud integration. Retailers are actively looking for a partner who can build, connect, and run AI for them — not another DIY toolkit. For small and mid-size retailers, the highest-value applications are workflow automations that handle specific, repeatable tasks.

Microsoft's agentic AI announcement highlights conversational checkout, brand-aligned shopping agents, catalog enrichment, and store operations support as the capabilities retailers are deploying first. NIQ's agentic AI launch shows the same demand in merchandising, with store-specific planograms created up to 50 times faster. The pattern is clear: retailers want AI that does the work, not AI that creates more work to manage.

A done-for-you agent build targets these same workflows:

• AI receptionists that answer incoming calls and capture missed opportunities
• Sales follow-up and SDR agents that respond to leads the moment they come in
• Appointment setters that book meetings without the back-and-forth emails
• Customer support agents that resolve common questions instantly
• Email and marketing agents that handle routine customer communication

Each agent maps to a specific, time-consuming retail function — and none requires the retailer to hire data scientists or build infrastructure. That's the practical reality of AI adoption in retail: the businesses making progress are starting with the workflows that consume the most staff time, not waiting for perfect data or enterprise-grade systems.

Implementation also demands a people-centric approach. A five-step framework for AI in retail emphasizes internal champions, continuous training, and establishing new work habits. A done-for-you service should include that onboarding support, not just the software. Agents by AIQ designs, builds, connects, and runs AI agents for small and mid-size businesses — including the training and change management that help a team actually adopt the new system.

The retailers who close the adoption gap won't be the ones with the most sophisticated AI strategy