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From Insights to Autonomy: AI-Native Retail Operating Layer

Retail TechRetail TechH2 2026Updated September 1, 2026
From Insights to Autonomy: AI-Native Retail Operating Layer

ComCap is pleased to share our H2 2026 report, From Insights to Autonomy: AI-Native Retail Operating Layer, examining how retail technology is shifting from insight dashboards to agentic systems that execute — across media, merchandising, store operations, and the M&A landscape of companies in the space, including attendees of the dunnhumby Retail Innovation Forum and lookalike peers.

Key highlights from the report include:

  • Agentic AI as execution layer: retailers moving past copilots that recommend toward agents that reset prices, replenishment, and labor plans

  • Vision AI convergence: video and sensor data feeding one operational layer across loss prevention, staffing, and merchandising

  • Retail media becoming intelligent commerce: RMNs shifting from ad channels to closed-loop activation and conversational commerce

  • Platform consolidation: buyers stitching data, AI, media, POS, and store operations through acquisition rather than building organically

  • AI bought as embedded capability: transactions such as UiPath/Peak AI and Salesforce/PredictSpring showing AI-native point solutions becoming capability targets

Read the full report for a deeper dive into the trends, deal activity, and players shaping the AI-native retail operating layer.

What This Report Covers

  • Sector context and relevant buyer or investor themes for Retail Tech.
  • Transaction and financing activity that informs ComCap's M&A advisory work.
  • Practical implications for founders, boards, corporate development teams, and sponsors.