This is like giving every retail store manager a super‑smart digital co‑pilot that constantly walks the aisles in software: it spots what’s wrong with shelves, pricing, and promotions, then automatically kicks off the work in your business systems to fix it.
Retail and consumer brands struggle to execute the “perfect store” consistently across thousands of locations—right product, right place, right price, right promotion. Today this relies on manual audits, spreadsheet analysis, and slow coordination between sales, trade marketing, and supply chain, leading to lost sales from out‑of‑stocks, poor planogram compliance, and ineffective promotions. The solution uses agentic AI tied into the enterprise business suite to continuously monitor store and channel data, recommend actions, and trigger workflows to close execution gaps automatically.
Tight integration with core retail/CPG business suites (ERP, CRM, supply chain, trade promotion management), plus access to proprietary transactional and execution data across thousands of stores, creates a data and workflow moat that is hard for point-solution competitors to replicate.
Hybrid
Vector Search
High (Custom Models/Infra)
Complexity of integrating with heterogeneous retail data sources and transactional systems at scale, while controlling inference cost and latency for continuous monitoring across thousands of stores.
Early Adopters
Positioned not as a standalone “AI copilot” but as embedded, agentic AI inside an integrated business suite that can both analyze store execution (assortment, pricing, promotions, planograms) and automatically trigger corrective workflows in core systems such as ERP and supply chain, enabling closed-loop ‘perfect store’ optimization rather than just reporting issues.