Stockouts Discovered After the Fact
By the time a report shows an empty shelf, the sale is already lost. Demand signals and inventory positions live in separate systems, so risk surfaces only after it has hit the floor.
QuaerisAI for Retail & CPG
From reactive dashboards to proactive answers.
Governed agentic analytics for retail and CPG. Autonomous agents answer plain-English questions across merchandising, inventory, supply chain, demand, and trade promotion, then surface stockout risk before the shelf goes empty.
DaysNot months to deploy
ProactiveRisk before the shelf
ZeroSQL needed
The Retail & CPG Challenge
You have the data across every system. You still find out too late.
Fragmented Source Systems
POS, ERP, demand-planning tools, warehouses, CRM, and retailer portals don't talk to each other. Answering a single cross-system question turns into a data-engineering project.
Trade Promotions in the Dark
Evaluating whether a promotion actually lifted volume or just shifted it requires stitching together spend, sell-through, and baseline demand by hand, long after the period closes.
Slow, Queued Analyst Requests
Merchandising, supply chain, and demand-planning teams wait in line for the analytics team to pull data, so they spend their time extracting numbers instead of acting on them.
Reactive, Not Proactive
Dashboards describe what already happened. They don't watch the data continuously or raise a hand before a shelf goes empty or a forecast drifts off course.
Core Capabilities
From shelf to supply chain. One platform answers across them all.
Proactive Stockout Detection
QuaerisAI agents watch demand and inventory signals across your systems continuously and flag stockout risk days early, so you can act before the shelf goes empty instead of explaining it afterward.
- Stockout risk flagged days early, not discovered after the fact
- Demand and inventory signals monitored continuously by agents
- Shift from reactive dashboards to proactive, sourced answers
Trade-Promotion Analysis
Ask whether a promotion actually paid off and get a structured answer that joins promotional spend, sell-through, and baseline demand, rather than waiting for a hand-built deck after the period closes.
- Promotional lift measured against baseline demand, not guesswork
- Spend and sell-through joined across systems in one query
- Plain-English questions, governed and sourced answers
Connected Supply Chain & Inventory
Connect POS, ERP, demand-planning systems, and warehouses so a single plain-English question can span all of them and return a consolidated answer without rebuilding your reporting infrastructure.
- POS, ERP, demand-planning, and warehouses queried together
- Data read in place, with no warehouse rebuild required
- One consolidated answer instead of stitched-together exports
Unified Demand & Customer View
Bring demand-planning systems, CRM, retailer portals, and SharePoint into the same governed query so merchandising and planning teams can ask about demand and customers in one place.
- CRM, retailer portals, and SharePoint joined with demand data
- Activates Power BI and Tableau rather than replacing them
- Self-serve answers for merchandising, supply chain, and planning
Security & Governance
Governed access to sensitive retail data.
Pricing, promotion, and customer data are sensitive. QuaerisAI reads your data in place and enforces access controls so people see only what they are permitted to see.
Data is read in place across your existing systems, not copied into a new silo
Access controls govern sensitive data so users see only what they are authorized to
Connects to POS, ERP, demand-planning systems, warehouses, CRM, retailer portals, and SharePoint
Activates your existing Power BI and Tableau investments instead of replacing them
We were always discovering stockouts after the fact. QuaerisAI surfaced the risk before it hit the shelf. That shift from reactive to proactive is worth more than any dashboard we ever built.
FAQ
Questions, answered.
Agentic analytics is a class of software where autonomous agents — not static dashboards — answer plain-English questions across merchandising, inventory, supply chain, demand, trade promotion, and customer data. Instead of waiting for someone to build a report, you ask a question and an agent plans and runs the analysis across your existing systems. Traditional BI describes what already happened on a dashboard, while agentic analytics works proactively, surfacing risks like a looming stockout before they reach the shelf.
Bring governed AI analytics to your shelves.
Move from reactive dashboards to proactive answers. Connect your existing systems, govern access to sensitive data, and surface stockout risk before it hits the shelf, in days, not months.