Connect your sources
The data fabric brings in CRM, order, pricing and invoice data from the systems you already run, and keeps it current.
Revenue ops and sales
RevOps and sales analytics
Put your data to work.
See pricing, discounts, incentives and margin by customer, product and rep. Ask questions of your own data, check the work behind every answer, and turn recurring reviews into tools.
Your weekly review deserves a better starting point.
001 / What you can ask
Ask about pricing, incentives and margin by customer, product and rep
Example questions revenue, sales and finance teams ask about their own data.
Yes, you can ask the awkward questions.
- Where are contract prices or discounts out of line by partner, region and SKU, and how much value is at stake?
- Which incentives and rebates line up with profitable growth by partner and product family?
- Which accounts underuse their preferred price plans?
- What buying patterns show up by segment and season, and which products are bought together?
- Which opportunities move fastest from first touch to close, and what do top-converting reps do differently?
- If we change a price or incentive, what is the projected effect on revenue and margin next month?
002 / How it works
From CRM and order data to reviews 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 price realization or discount leakage in plain language. Each answer shows the query and steps behind it.
Build tools you rerun
Turn a pricing or rebate review into a tool with inputs, backed by real Python, and rerun it each month.
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.
Yes. Ask for AR aging by customer and amount due, and Beye returns a ranked list with the query behind it. Save it as a tool and rerun it each week.
Yes. Compare realized and target price by customer and product, and see the largest gaps with the data behind them. Use the result to guide pricing decisions and account focus.
Each answer shows its SQL and steps, so finance can open the query and review the assumptions. Tools keep a revision history, and saved runs keep their inputs and results.
004 / Related
Where this data meets the rest of the business
Retail & CPG
Stock, pricing, promotions and margin by store, SKU and supplier.
Distribution & Logistics
OTIF, fill rate, cost to serve and margin across routes, carriers and warehouses.
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.