Ekyam Agent
The operational intelligence foundation for inventory, planning, merchandising, and supply chain.
Publisher
Ekyam
Industry Type
Retail & Consumer Goods
Product Details
This brand and retail data agent for Google Gemini lets merchandising, operations, supply chain, and finance teams get answers from their data without building reports or waiting on analysts. Users ask questions in natural language, such as which SKUs will run out of stock in the next 30 days, how customer retention looks by cohort, or what a demand forecast shows for a category.
It pulls from across the tech stack, including ERP, WMS, OMS, POS, and e-commerce systems, and returns each number from the correct source of truth. A pre-built retail data model resolves entities, enforces consistent metric definitions, and sets source hierarchy rules, with business rules and taxonomies embedded so the agent does not relearn the data with each question. That means lower token cost and faster, consistent answers. Teams can also run demand forecasts, analyze cohorts, measure price elasticity, track vendor OTIF, and assess promotions. Querying happens in Gemini, while data connections and setup are managed in the Ekyam platform, which offers a 14-day trial on sample data.
Key Use Cases
Cross-System Inventory Risk Identification
Unifies inventory metrics across ERP, WMS, and e-commerce platforms to automatically identify imminent stockouts and calculate run-out timing using standardized retail data models.
Automated Merchandising and Cohort Analysis
Enables merchandising and finance leads to query customer retention, price elasticity, and promotional effectiveness in natural language without manual BI report development.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.