LS Retail, a retail technology vendor, released a sponsored article on Retail Dive outlining five best practices for AI implementation in grocery retail. The guidance comes as 68% of food retailers now use AI, up from 47% a year earlier (Retail Dive - Technology).
The five recommendations emphasize foundational data hygiene before deploying AI: establishing a single source of truth for product information, pricing, inventory, and customer data; aligning AI investments with specific business problems rather than technology for its own sake; enriching AI systems with store-specific context such as local promotions and product availability; enabling store associates to work faster with AI-assisted information retrieval; and monitoring AI performance continuously as deployments scale across channels and stores. The article warns that AI systems will expose data quality gaps—such as out-of-stock items or inconsistent pricing—at scale, potentially damaging customer experience if foundational systems are not first modernized.
For commerce practitioners, the guidance underscores that AI adoption in grocery requires upstream investment in data consolidation and governance rather than jumping directly to customer-facing AI features. Retailers deploying AI on fragmented legacy systems risk amplifying operational failures rather than delivering the personalization and efficiency gains that justify the investment.