Connect your sources
The data fabric brings in point-of-sale, inventory, promotion and supplier data from the systems you already run, and keeps it current.
Retail and CPG
Retail and CPG analytics
Put your data to work.
See stock, pricing, promotions and margin by store, SKU and supplier. Ask questions of your own data, check the work behind every answer, and turn recurring reviews into tools your team reruns.
Your weekly review deserves a better starting point.
001 / What you can ask
Ask about stock, promotions and margin by store, SKU and supplier
Example questions merchants, planners and category teams ask about their own data.
Yes, you can ask the awkward questions.
- Which SKUs are at risk of stockout by store and supplier in the next two weeks?
- Where are we losing margin after markdowns, freight and discounts, by category?
- Which promotions drove incremental units, and which mostly cannibalized other products?
- Where are prices inconsistent by region or customer?
- Which customers buy a product family, how often, and what do they buy with it?
- Which suppliers miss service targets, and how does that affect in-stock rates and weeks of supply?
- How does next month look under best-case and conservative demand scenarios?
002 / How it works
From POS and inventory data to checks you can rerun
Keep the useful work.
Beye is the foundation your team builds on: connected data, real analysis, reusable tools and a history of the work.
Ask and see the work
Ask about stockouts, promotions or margin in plain language. Each answer shows the query and steps behind it.
Build tools you rerun
Turn a promotion review or stock check into a tool with inputs, backed by real Python, and rerun it for the next cycle or region.
Keep a history
Revisions show who changed what. Saved runs keep their inputs, timing and results for reviews and audits.
003 / Frequently asked questions
Questions welcome.
Fine print, less so.
Common starting points are stockout risk, promotion performance, price and margin realization, supplier scorecards and store or region focus. Each one is built on your own KPIs and vocabulary.
The Beye data fabric brings in point-of-sale, inventory, promotion and supplier data from the systems and spreadsheets where it already lives, and keeps it current with recurring updates, so you do not need a data warehouse first. Older or custom systems can take some extra integration work.
Yes. Build the promotion analysis once as a tool, then rerun it each cycle with new dates. Saved runs keep their inputs and results, so you can compare cycles side by side.
004 / Related
Where this data meets the rest of the business
Supply Chain
Stockouts, fill rate, supplier lead times and cost to serve across your network.
Revenue Ops & Sales
Pricing, discounts, incentives and margin by customer, product and rep.
Platform overview
How the data fabric, analysis, Python tools and history fit together.
005 / Your next step
Bring the messy part.
Let’s put it to work.
Yes, even that spreadsheet.
Bring a report, calculation or recurring check you run today. We’ll show you how Beye connects the data behind it and turns it into a tool your team can rerun.