Connect your sources
The data fabric brings in order, shipment, inventory and pricing data from the systems you already run, and keeps it current.
Distribution and logistics
Logistics and distribution analytics
Put your data to work.
See fill rate, OTIF, cost to serve and margin in one place. Beye connects to the WMS, TMS and ERP systems you already run, keeps the data current, and gives your team answers it can check and tools it can rerun.
Your weekly review deserves a better starting point.
001 / What you can ask
Ask about service, cost and margin across routes, carriers and warehouses
Example questions distribution and logistics teams ask about their own data.
Yes, you can ask the awkward questions.
- Which routes, carriers or warehouses are driving late deliveries this week, and what is the cost to serve by lane?
- Which customers are most exposed to backorders, and where is inventory available to reallocate?
- Which 20% of SKUs account for 80% of backorder value, and which suppliers are behind them?
- Where are invoiced prices out of line with list or contract prices, by customer and SKU?
- Which accounts underuse their preferred price plans?
- How would service level, working capital and freight change under a different replenishment policy?
002 / How it works
From WMS, TMS and ERP 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 OTIF, fill rate or margin in plain language. Each answer shows the query and steps behind it.
Build tools you rerun
Turn a weekly OTIF review or pricing check into a tool with inputs, backed by real Python, and rerun it for the next week or warehouse.
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 inventory and fill rate, route and distribution center performance, cost to serve, pricing consistency and key account health. Each one is built on your own definitions.
The Beye data fabric brings in order, shipment, inventory and pricing 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. Run a what-if analysis in Python on your own data, compare the options side by side, and save it as a tool the team can rerun with different inputs. Beye does not change your source systems.
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.
Operations
Throughput, service levels and the day-to-day KPIs operations teams run on.
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.