Solutions · Supply Chain
Supply chain data your planners, buyers, and ops teams can finally trust
Supplier records, SKU attributes, inventory levels, and shipment data live in a dozen systems and rarely agree. Pinnova turns them into data products your supply chain team can act on with confidence.
The Problem
Supply chain data breaks in predictable, expensive ways
- The same supplier exists three times across your ERP with three different addresses.
- Inventory on-hand in your WMS doesn't match what finance reports on the balance sheet.
- Demand forecasts run on stale or incomplete SKU attribute data.
- Nobody can say with confidence who owns the "official" item master.
The Pinnova Way
One trusted layer across ERP, WMS, and TMS
- Supplier and item master records reconciled against a trusted reference view automatically.
- Inventory validated against business rules before it reaches planning.
- SKU and demand data profiled for completeness before forecasting runs.
- Clear ownership published to registered dashboards planners actually use.
Data Domains
Where we start with supply chain data
Pinnova ships with domain templates for the data sets that drive the most supply chain decisions.
Supplier Master
Vendor identity, terms, risk, and contact data
SKU / Item Master
Product attributes, UOM, and classification data
Inventory Levels
On-hand, in-transit, and safety stock positions
Purchase Orders
PO lines, approvals, and receipt status
Shipments & Logistics
Carrier, tracking, and delivery performance data
Demand Forecast
Historical demand and forward-looking planning inputs
Pillars in Action
Where the platform does the most for supply chain data
The disciplines that look different for supply chain data. The rest work the same in every domain: see the platform.
| Pillar | What it looks like for Supply Chain |
|---|---|
| Profile | Automatically surface which SKU attributes are missing before they break a forecasting model. |
| Validate | Reconcile service entry sheets and vendor spend between a source system and a reference view, within tolerance — catching duplicate or missing receipts before they hit the P&L. |
| Analyze | Deploy the procure-to-pay KPI views that ship with the Reference Data Models (Enterprise) on SAP HANA — three-way-match exceptions, duplicate invoices, maverick spend, price variance, supplier concentration, contract utilization, payment terms, inventory and working capital, master data quality, and P2P controls — and read them from any tool; Pinnova BDS profiles, validates, and governs them like any other data. |
Bring trust to your supply chain data
Download the free tier for your procurement, planning, or logistics team — up to 3 data products, free.