How retailers can activate a vertical AI data foundation

For retailers, the AI race starts at the data layer. Here’s what can be achieved with Vertical AI for Retail in place. 

Every retailer has data. Lots of it. Whether that data is consistent, connected, and trustworthy enough to power daily decisions is the real question. As AI becomes a genuine operational layer in retail space management, the quality of the underlying data foundation matters more than ever.

While suppliers are primarily focused on getting their products distributed across retail partners, retailers carry a different weight; they own the shelf. Retailers, including their online marketplaces, sit at the center of a complex, multi-supplier ecosystem and are responsible for strategy across thousands of brands, categories, and store formats. Retailers require data and space planning solutions that work across every layer of the organization, consistently and without gaps.

That’s the job of a vertical AI foundation. Unlike general-purpose AI layered onto retail systems after the fact, Vertical AI for Retail is built from the data layer up – with clean, harmonized, semantic layer-enhanced intelligence structured for retail enterprise-wide planning all the way down to individual stores, SKUs, and orders.

Accurate data leads to accurate AI recommendations and accurate execution. The inverse is also true – and that’s where most AI implementations in retail break down. Here’s how retailers are putting a vertical AI data foundation to work.

Unlike general-purpose AI layered onto retail systems after the fact, Vertical AI for Retail is built from the data layer up – with clean, harmonized, semantic layer-enhanced intelligence structured for retail enterprise-wide planning all the way down to individual stores, SKUs, and orders.

Shelf planning intelligence

Category management and space planning have never been more dynamic, to serve the evolving consumer shopping behaviors of today’s omnichannel shoppers. The ideal set-up to keep pace looks like this: streamlined planogram revisions and compliance tracking, with AI continuously monitoring execution and shelf performance to connect every strategy to its outcomes.

Crisp was awarded the 2026 Category Management Partner of the Year award by Blue Yonder, in recognition of its space planning expertise and AI-ready data solutions. Retailers are leveraging solutions such as Crisp MissionControl and Crisp AI Agents to respond to real-time performance signals and market shifts and make strategic revisions swiftly across thousands of unique store planograms.

Real-time performance monitoring and AI – which can compute insights across millions of data points faster than human teams alone – can proactively address supply chain gaps and flag opportunities to capitalize on trends. Vertical AI-enabled retailers can achieve the vision of responsive shelf strategies that keep the products consumers demand available wherever they need them, with assortments tailored to both in-store and online preferences.

Crisp was awarded the 2026 Category Management Partner of the Year award by Blue Yonder, in recognition of its space planning expertise and AI-ready data solutions.

Supplier data enablement

Enabling your supplier base with dependable performance insights becomes a breeze when your own data infrastructure is in order. Data-sharing for suppliers creates the following benefits:

• Performance benchmarks like on-time in-full (OTIF) and out-of-stock percentage (OOS%) become actionable, enabling suppliers to reallocate inventory and keep distribution centers stocked to meet regional demand – boosting average fill-rates to over 90%.
  
• Daily point-of-sale data gives suppliers immediate visibility into category performance and emerging trends, enabling them to bring timely, relevant recommendations to retail partners. Rather than acting on syndicated reports with four or more weeks of latency.
  
• Clean, structured data strengthens retailer ownership of first-party data intelligence, enhancing the success of revenue-generating retail media programs – with retail media spend expected to account for almost a quarter of all U.S. ad spend by 2028.
  

This interconnected data ecosystem lays the foundation for collaborative commerce. Joint business planning built on shared, real-time data and AI, is integral to ensuring the supply of high-quality products. As well as marketing dollars to shape your store experience with deals and displays that your shoppers will delight in.

Joint business planning built on shared, real-time data and AI, is integral to ensuring the supply of high-quality products. As well as marketing dollars to shape your store experience with deals and displays that your shoppers will delight in.

Store execution excellence

Having a real-time pulse of store performance and granular trends with AI transforms the demand planning and replenishment cycle with automated, data-driven ordering workflows. Especially when it comes to fresh food windows and preventing markdowns and waste, Crisp can reduce spoilage by dynamically adjusting orders based on real-time sell-through and shelf-life signals. 

This is exemplified in Crisp’s partnership with Dollar General, who has automated fresh produce ordering across 7,000 stores with Crisp’s AI-driven replenishment capabilities.

With trusted retail-specific AI foundations in place, retailers are well-positioned to scale and evolve by creating continuous feedback loops to sharpen performance across every store and category. These advancements have made the vision of intelligent store planning, ordering, and strategic category management a reality for retailers and their supplier base with Crisp AI Agents and more. Get started by reaching out today.