Stockouts and lost sales
Which SKUs are at risk of stockout by store and supplier in the next two weeks, and which actions prevent lost sales at the lowest cost.
Smarter retail decisions
AI-driven insights that improve in-stock rates, optimize promotions, and protect margins in days, not months.
Answers that matter
From stockouts to promotion ROI, your AI agent delivers clear, actionable insights in seconds, so teams act faster and protect profit.
Which SKUs are at risk of stockout by store and supplier in the next two weeks, and which actions prevent lost sales at the lowest cost.
Where are we losing margin after markdowns, freight, and discounts by category, and which actions recover profit fastest.
Which promotions drove true incremental units versus cannibalization, and what should repeat next cycle.
Where do we see pricing inconsistencies by region or customer, and what recovered revenue can be realized if corrected.
Which customers buy a product family, how often, and which add-on items we should recommend next.
Which suppliers are missing service targets, and how that affects in-stock rates, weeks of supply, and inventory turns.
Run best-case and conservative demand scenarios for next month and track progress against goals.
Reliable outcomes
From data prep to scenario planning, every step is automated and transparent, so your teams can trust the results and act with confidence.
We integrate Excel exports and system files, then build a semantic layer around your KPIs, definitions, and goals.
Agents harmonize data, construct queries, and validate results so business users get answers in under 30 seconds.
Implementations typically complete within two weeks depending on scope.
Scenarios run in minutes, keeping the cost of iteration low.
Results always reflect your workspace data and KPI model. Missing data is flagged with suggestions for next steps.
Frequently asked questions
Beye supports stockout risk and recovery, promotion performance, price and margin realization, assortment and planogram compliance, supplier scorecards, and store or region focus. Each use case is modeled to your KPIs and vocabulary.
Start with POS, inventory, and promotion files along with exports from NetSuite, Salesforce, and BigQuery. The ELT Fabric engine harmonizes sources and builds history and lineage for analytics.
Ask where stockout risk is highest by SKU and retailer with coverage at nearby distribution centers. Ask which stores create most of the availability gap and why. Ask where realized price lags target and which accounts to prioritize.
Quick connect
Join leading mid-market companies using Beye to turn data chaos into decision-ready insights in seconds.