Trusted AI Analytics, Built for Retail
Codd AI delivers a context-aware semantic layer that turns retail data into explainable, business-ready insight for merchandising, supply chain, and customer decision-making.
Retailers operate in fast-moving, data-intensive environments spanning POS systems, e-commerce platforms, loyalty programs, supply chain, pricing, and promotions. Core retail concepts such as SKU, category, sell-through, inventory turns, gross margin, customer lifetime value, and promotion lift are often defined differently across merchandising, marketing, supply chain, and finance teams. This inconsistency slows insight, creates conflicting KPIs, and limits the effective use of AI. Codd AI addresses this challenge by establishing a contextual semantic layer purpose-built for retail. It unifies transactional, customer, and product data into governed, business-fluent models that enables trusted analytics and safe adoption of GenAI without disrupting existing retail systems.
Key Capabilities
Establish a Common Retail Language
Codd AI standardizes retail definitions across channels and teams. Product hierarchies, customer attributes, pricing logic, and performance metrics are defined once and reused consistently across dashboards, analytics tools, and AI experiences. This ensures every team, from merchandising to finance, is working from the same understanding of retail performance.
Value: Faster alignment across teams, fewer KPI disputes, and a single source of retail truth.
Enable AI-Driven Merchandising and Pricing Insights
Merchandisers and pricing teams need rapid insight without relying on complex queries or manual analysis. Codd AI enables business users to ask natural-language questions about product performance, assortment effectiveness, and pricing impact while ensuring answers reflect approved business logic and data definitions.
Value: Better assortment decisions, improved pricing strategies, and faster reaction to market changes.
Optimize Inventory and Supply Chain Performance
Retail inventory data is fragmented across warehouses, stores, and suppliers. Codd AI brings semantic consistency to inventory, demand, and fulfillment data, enabling AI-assisted analysis of stock levels, turnover, and supply chain bottlenecks. Teams can quickly identify risks to availability and margin.
Value: Reduced stockouts and overstock, improved inventory turns, and more resilient supply chains.
Power Customer and Executive Decisioning
Retail leaders want conversational insight into customer behavior, profitability, and performance trends but cannot afford inconsistent or opaque AI outputs. Codd AI ensures executive and customer analytics are grounded in governed definitions, with full transparency into how insights are generated.
Value: Confident, data-driven decisions across customer experience, growth, and profitability.