
It's been a while since our last newsletter, and a lot has happened.
Profitmind has been heads down building, and the retail AI landscape has been moving fast. Now felt like the right time to re-establish this newsletter as a weekly resource for retail leaders who want to stay ahead of both.
Each week I'll be sharing important developments at the intersection of retail and AI, what they mean for your business, and how the best operators are responding.
Here's what caught my attention this week.
— Mark
The past week marked a turning point in retail AI as companies shifted focus from basic automation to sophisticated agent-driven systems. Major retailers like Shopify are investing heavily in agent-driven commerce, where AI systems act as personal shoppers that discover, compare, and purchase products on behalf of users. AI-powered advertising spending surged 63% to $57 billion this year, signaling the technology's move from experimental tool to core business infrastructure.
AI-driven advertising is projected to grow 63% in 2026, reaching $57 billion and accounting for a significant share of total ad spend. Platforms that automate targeting, bidding, and optimization are gaining adoption across both small and large advertisers. Despite concerns about transparency and control, many brands are prioritizing performance and efficiency, increasingly trusting automated systems to manage campaigns.
Shopify is investing heavily in agent-driven commerce, where AI systems act as personal shoppers that discover, compare, and purchase products on behalf of users. These agents aim to provide deeper personalization than traditional search by learning user preferences and surfacing relevant products more effectively. The shift could expand online retail and improve product discovery, especially for smaller brands. This evolution demands sophisticated inventory management and pricing intelligence—exactly the type of agentic AI capabilities that enable retailers to compete effectively when AI systems, rather than human shoppers, drive purchasing decisions.
Online fashion retailer Godiva reported that moving from basic search to AI-driven recommendations has almost doubled conversion rates from 1.4% to 2.5% and delivered £1 million in sales via chatbot journeys. Returns—once an eye-watering 80%—are falling thanks to several measures including AI sizing tools. However, while AI build costs are tumbling, daily operating costs can run to £4,000. This success story demonstrates the ROI potential of enterprise AI while highlighting the importance of cost-effective solutions that balance performance gains with operational expenses—a key consideration for retailers evaluating agentic AI platforms.
Source: Retail Technology Innovation Hub
Next week, watch for developments from Shoptalk 2026, where industry leaders will debate whether agentic commerce will meaningfully reshape shopping behavior. As retailers evaluate AI not as a customer service tool but as a core margin driver, expect more announcements about autonomous pricing and inventory optimization systems. The focus is shifting from AI experimentation to measurable business outcomes.
Agentic AI systems autonomously make decisions and execute actions on behalf of users, unlike traditional AI that simply provides recommendations. Profitmind's agentic AI platform automatically optimizes pricing, manages inventory levels, and adjusts competitive strategies without human intervention.
AI advertising spending grew 63% to $57 billion because automated systems consistently outperform manual campaign management in targeting and optimization. Retailers are prioritizing performance over control as AI delivers measurable ROI improvements.
AI agents act as personal shoppers that discover, compare, and purchase products autonomously based on learned preferences. This shift from search-driven to agent-driven commerce requires retailers to optimize for AI recommendations rather than traditional search rankings.
While AI build costs are decreasing, daily operational costs can reach £4,000 for comprehensive systems like those used by fashion retailer Goddiva. Profitmind's enterprise platform is designed for cost-effective scaling across pricing, inventory, and competitive intelligence functions.
Leading retailers report immediate impact—Goddiva nearly doubled conversion rates from 1.4% to 2.5% and generated £1 million in additional sales through AI-powered chatbots. Success depends on choosing comprehensive platforms that address multiple business functions simultaneously.

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