Logistics & Supply Chain Analytics
Datazeb helps logistics and supply chain teams connect orders, inventory, warehouses, suppliers, transport, delivery, and finance data into reliable analytics and reporting.
The logistics data problem
When these sources are reported separately, teams can see parts of the operation but struggle to understand the end-to-end flow, identify exceptions quickly, or explain why service performance changed.
Bring orders, movement, inventory, warehouse, transport, and service indicators into one management view.
Track throughput, inventory movement, ageing, capacity, exceptions, and location performance.
Monitor shipment, dispatch, delivery, route, carrier, and service-level performance where data is available.
Understand availability, movement, ageing, stock cover, slow-moving items, and operational exceptions.
Compare lead times, delivery performance, reliability, volume, and exception patterns.
Track order flow from creation through picking, dispatch, delivery, and completion.
Connect ERP, WMS, TMS, APIs, files, databases, and partner feeds into a trusted reporting layer.
Notify teams about exceptions, failed data flows, late events, missing records, or defined operational thresholds.
Industry measures
From order to delivery, with exceptions visible before they reach the customer.
Related work
Logistics · UK and Middle East
Digital freight and logistics platform — Freight forwarders in 20+ countries; sea, air, road and warehouse
The platform handles multimodal shipments by sea, air, road and warehouse, through a growing network of freight forwarders in many countries.
What was built
Client names are withheld. Specific commercial metrics are not published for confidentiality.
The critical work often sits between source and dashboard: aligning order IDs, item codes, locations, timestamps, shipment statuses, partner data, and business definitions.
In detail
Outcome: a clearer operational picture without relying on manually assembled warehouse reports.
The exact measures depend on the events and status history available from the client's transport systems and partners.
A joined order timeline is often more useful than separate reports from each system.
Where sales or demand data exists, inventory reporting can be extended into replenishment and exception analytics.
Definitions should be aligned with procurement, operations, and finance before supplier or carrier scorecards become management measures.
Datazeb can create operational views around defined exception logic. Exception reporting can be paired with alerts so teams respond to the issue instead of constantly watching dashboards.
Depending on the operation, reporting may include:
FAQ
Often, yes. The integration method depends on the APIs, databases, files, exports, and access available in each system.
Yes. Datazeb can build operational Power BI reporting across warehouse, order, inventory, transport, and delivery data where the required sources are available.
Yes. Defined exceptions can trigger reporting views, notifications, or workflow actions where appropriate.
Yes. Datazeb can create a standardised reporting model with consolidated management views and site-level detail.
Yes. Master-data mapping and reconciliation is often an important part of creating reliable logistics analytics.
If orders, inventory, warehouses, suppliers, transport, and delivery data live across disconnected systems, tell us how the operation works today. Datazeb can help create a more reliable view of movement, service levels, inventory, and operational exceptions.
