Supply Chain Analytics Dashboards

Why operations leaders still run supply chain on spreadsheets

Dynamics 365 Finance & Operations records everything an operations team needs to measure. Confirmed delivery dates sit on sales lines. Actual ship dates sit on packing slips. Receipt dates sit against purchase order lines. On-hand and issue history sit in inventory transactions. The data is complete.

What F&O does not do is assemble it. There is no native workspace that tells you, for last quarter, what proportion of sales order lines shipped complete on the date first confirmed to the customer — because that requires holding the original confirmation, comparing it to the packing slip, and deciding as a business how to treat a customer-requested date change. Native workspaces show you today's work queue. They do not measure yesterday's performance.

So the planner exports to Excel, the buyer keeps a private vendor scorecard, and every number in the operations review is a different person's interpretation.

What ECOSIRE builds

This is a build-to-order engagement. We write an X++ extension package for your environment against definitions you agree in scoping — because OTIF means something slightly different in every business, and a KPI you did not define is a KPI nobody trusts.

The measurement snapshot

The core of the build is a snapshot layer. Because F&O overwrites confirmed dates when a line is reconfirmed, measuring delivery performance historically requires capturing state at the moment of commitment. We hook the confirmation and release events so the originally confirmed ship and receipt dates are preserved, then compare them against SalesPackingSlipTrans and PurchReceiptTrans at actual fulfilment. Snapshots accumulate through a batch framework job, so history builds from the day of install forward, and where your data supports it we backfill from existing packing slip and receipt history during implementation.

Delivery performance

On-time-in-full is calculated at line and order level against your chosen date basis — original confirmed date, customer requested date, or both shown side by side. Tolerance windows are configurable, because a business shipping bulk chemicals and a business shipping surgical kits do not define "on time" the same way. Failures are attributed to a reason category derived from the transaction trail: stock shortfall at pick, late supplier receipt, transport delay after packing slip, or credit hold.

Fill rate is measured on first-pass line fill and on quantity fill, sourced from SalesLine quantities against InventTrans issue records, split by site, warehouse, item group and customer group.

Backorder analysis reads open sales lines with unshipped quantity, aged by how long each line has been outstanding, and joined to available supply — on-hand from InventSum, inbound from open purchase order lines, and planned supply from master planning where it is in use. That last join is what turns a backorder list into a recovery plan.

Inventory analytics

Inventory turns are computed from cost of goods sold movement against average inventory value over the period, at item, item group, warehouse and site level, using financially updated InventTrans so the value matches your ledger rather than a quantity-only approximation. Alongside turns we build days-of-supply, excess and obsolete classification against your own ageing thresholds, and slow-mover identification based on issue frequency rather than value alone.

Where warehouse management is in use, the pack extends to warehouse throughput — work lines completed by work type from the warehouse mobile app, pick accuracy, and dock-to-stock time from arrival registration to InventTrans posting.

Supplier performance

A vendor scorecard combines receipt timeliness against the original confirmed receipt date, quantity accuracy at receipt, price variance between purchase order price and invoice-matched price, and quality rejection rate where non-conformance is recorded. Each vendor is scored on weightings you set during scoping, and every score drills to the purchase orders behind it — which is the difference between a scorecard a buyer will defend in a supplier review and one they quietly ignore.

Delivery surfaces

Dashboards are delivered as F&O workspaces and forms in X++, secured through standard SecurityRole duties and privileges. Every dataset also has a data entity exposed over OData, so planners can pull figures into Excel and your BI team can consume them without a second extraction. Aggregation runs in the batch framework overnight with an on-demand refresh available to supervisors.

Who this is for

Distribution, manufacturing and wholesale organisations running Dynamics 365 Finance & Operations with meaningful sales and purchase order volume, real warehouse operations, and an operations review that currently argues about whose numbers are right. If you run a handful of orders a week from a single site, the measurement infrastructure here will cost more than the insight is worth.

How delivery works

1. Scoping call. We agree KPI definitions in writing — the date basis for OTIF, tolerance windows, how customer-requested date changes are treated, which vendors are in scope for scoring and how the scorecard is weighted. This is the most important hour of the engagement. 2. Fixed quote. Written scope, fixed price, delivery date. Anything added later is quoted separately. 3. Build. X++ extensions only, no overlayering, developed against a copy of your configuration so item groups, warehouses and vendor structures match reality. 4. Install in test. Deployable package to your sandbox via your LCS pipeline. We run the batch aggregation, backfill history where your data supports it, and validate a sample of orders line by line with your planners — tracing each one from confirmation through packing slip to the KPI it lands in. 5. Production. You promote the same package through your normal release process. We support go-live and the first operations review run on the new numbers. 6. Support. A defined support window covering defects and questions is included. Further work is quoted separately.

Typical lead time is one working week from signed quote to a package in your sandbox, depending on how many KPI definitions and warehouses are in scope.

What we do not claim

No certification, no marketplace listing, no trial download — this is custom software built to your specification and handed to you as source plus a deployable package. Historical KPIs are only as deep as your retained transaction history allows, and we tell you the realistic backfill depth during scoping rather than after install.