The logistics data problem
The operation is connected. The reporting often is not.
- Warehouse management systems
- Transport management systems
- ERP platforms
- Order-management systems
- Inventory databases
- Supplier and carrier portals
- GPS / tracking feeds
- Finance and billing systems
- Spreadsheets and manually exported files
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.
Typical logistics and supply chain challenges
- Inventory balances differ between systems
- Order status is difficult to track across hand-offs
- Warehouse and transport reporting use different definitions
- Delivery performance is assembled manually
- Supplier or carrier performance is inconsistent
- Operational exceptions are discovered too late
- Historical trend analysis is difficult
- Site and warehouse performance cannot be compared consistently
- Daily management reporting relies on spreadsheets
- Data from external partners arrives in different formats
What Datazeb can deliver
Operational Control Dashboards
Bring orders, movement, inventory, warehouse, transport, and service indicators into one management view.
Warehouse Analytics
Track throughput, inventory movement, ageing, capacity, exceptions, and location performance.
Transport & Delivery Analytics
Monitor shipment, dispatch, delivery, route, carrier, and service-level performance where data is available.
Inventory & Stock Intelligence
Understand availability, movement, ageing, stock cover, slow-moving items, and operational exceptions.
Supplier & Carrier Analytics
Compare lead times, delivery performance, reliability, volume, and exception patterns.
Order & Fulfilment Analytics
Track order flow from creation through picking, dispatch, delivery, and completion.
Data Integration
Connect ERP, WMS, TMS, APIs, files, databases, and partner feeds into a trusted reporting layer.
Alerts & Automation
Notify teams about exceptions, failed data flows, late events, missing records, or defined operational thresholds.
From operational systems to one trusted view
- ERP / Orders
- WMS / TMS
- Transform & Reconcile
- Trusted Data
- Power BI / Alerts
The critical work often sits between source and dashboard: aligning order IDs, item codes, locations, timestamps, shipment statuses, partner data, and business definitions.
Warehouse analytics
Make warehouse performance easier to see and compare
- Inbound and outbound volume
- Throughput
- Pick / pack activity where available
- Inventory movement
- Stock ageing
- Location utilisation
- Backlog
- Operational exceptions
- Site / warehouse comparison
- Daily and weekly trends
Outcome: a clearer operational picture without relying on manually assembled warehouse reports.
Transport and delivery analytics
Track service performance across movement and delivery
- Dispatch volumes
- Delivery status
- On-time performance
- Late or failed deliveries
- Carrier performance
- Route / region performance
- Transit time
- Exception reasons
- Shipment trends
The exact measures depend on the events and status history available from the client’s transport systems and partners.
Order and fulfilment analytics
See where orders are moving smoothly – and where they are waiting
- Orders received
- Orders released
- Pick / pack / dispatch status
- Fulfilment cycle time
- Backlog
- Partial fulfilment
- Cancelled orders
- Late orders
- Order ageing
- Service-level performance
A joined order timeline is often more useful than separate reports from each system.
Inventory and stock intelligence
Connect stock position with movement and operational demand
- Stock on hand
- Available inventory
- Inventory by warehouse / site
- Stock ageing
- Days of stock / cover
- Fast- and slow-moving items
- Stockouts
- Excess inventory indicators
- Transfers and movement history
- Inventory reconciliation differences
Where sales or demand data exists, inventory reporting can be extended into replenishment and exception analytics.
Supplier and carrier analytics
Measure performance using a consistent operational definition
- Lead-time performance
- On-time delivery
- Volume handled
- Service exceptions
- Order / receipt variance
- Supplier-linked stockouts
- Carrier reliability
- Trend and period comparison
Definitions should be aligned with procurement, operations, and finance before supplier or carrier scorecards become management measures.
Service-level and exception reporting
Make exceptions visible before they become recurring customer problems
Datazeb can create operational views around defined exception logic.
- Late orders
- Late inbound receipts
- Missed delivery windows
- Stockout events
- Incomplete shipments
- Missing tracking or status events
- Stalled orders
- Data-feed failures
- Unmapped locations or items
Exception reporting can be paired with alerts so teams respond to the issue instead of constantly watching dashboards.
Multi-site operations
Compare warehouses, regions, branches, or facilities consistently
- Common KPI definitions
- Site-level drill-down
- Consolidated executive view
- Throughput comparison
- Inventory comparison
- Service-level comparison
- Role-based access
- Location-specific exception views
A shared reporting model helps avoid each location maintaining its own spreadsheet definitions.
Data quality and reconciliation
Operational analytics is only as reliable as the event and master data beneath it
- Missing order IDs
- Duplicate shipments
- Unmapped locations
- Inconsistent product codes
- Impossible or missing timestamps
- Status sequences that do not reconcile
- Missing partner feeds
- Inventory balance differences
- Orders with incomplete lifecycle events
Automated checks can surface these issues before they distort management reporting.
Automation opportunities
Remove repetitive operational reporting and hand-offs
- Scheduled management reports
- Exception notifications
- Late-order alerts
- Failed data-load alerts
- Partner-file processing
- Status-update workflows
- Daily operational summaries
- Cross-system data synchronisation where appropriate
AI opportunities
Use AI to help people interpret operational information
- Natural-language questions over approved logistics data
- Operational exception summaries
- Internal process / SOP knowledge assistants
- Document and email classification
- Shipment or supplier communication summarisation
- AI-assisted workflow triage
AI should complement a trusted operational data model, not replace it.
Management KPIs
Depending on the operation, reporting may include:
- Order cycle time
- On-time fulfilment
- On-time delivery
- Warehouse throughput
- Backlog
- Inventory ageing
- Stock availability
- Carrier performance
- Supplier lead time
- Exception rate
- Site / region performance
Why Datazeb for logistics & supply chain
- Strong data engineering and BI capability in one delivery model
- Experience integrating APIs, files, databases, and operational systems
- Focus on reconciliation and master-data alignment before dashboard design
- Power BI, SQL, Python, PostgreSQL, API, and automation capability
- Ability to combine reporting, exceptions, alerts, and ongoing support
- Flexible project and retainer models
- Global remote delivery
Engagement options
- Logistics reporting assessment
- Warehouse dashboard project
- Order / fulfilment analytics
- Inventory and stock intelligence
- WMS / TMS / ERP data integration
- Supplier / carrier reporting
- Automated exception reporting
- Managed analytics support
How we work
- Understand
Clarify the operational flow, key decisions, service commitments, users, and reporting pain points. - Map
Document orders, inventory, sites, suppliers, carriers, statuses, source systems, and data hand-offs. - Reconcile
Align identifiers, timestamps, statuses, master data, and business rules across sources. - Build
Develop integrations, trusted models, dashboards, exception logic, alerts, and automation. - Validate & Improve
Reconcile outputs with operational users, document the environment, and refine it as processes change.
FAQ
Can you connect our ERP, WMS and TMS data?
Often, yes. The integration method depends on the APIs, databases, files, exports, and access available in each system.
Can you build warehouse and delivery dashboards?
Yes. Datazeb can build operational Power BI reporting across warehouse, order, inventory, transport, and delivery data where the required sources are available.
Can you create alerts for late or failed processes?
Yes. Defined exceptions can trigger reporting views, notifications, or workflow actions where appropriate.
Can you support multiple warehouses or locations?
Yes. Datazeb can create a standardised reporting model with consolidated management views and site-level detail.
Can you help reconcile inconsistent product or location codes?
Yes. Master-data mapping and reconciliation is often an important part of creating reliable logistics analytics.
Do you provide ongoing support?
Yes. Managed analytics support can cover source changes, new dashboards, integration troubleshooting, data-quality issues, and continuous improvement.