On-time performance by supplier
Supply chain analytics UK · Batley, West Yorkshire
See the next shortage before it reaches your customer.
Excess stock and missed service levels often come from the same source: decisions made with last week's information. Griffith's Digital Insights Ltd. brings warehouse, transport, order and supplier data into one operating view, with inventory forecasting and logistics dashboards built around the way your teams work.
Know what is coming. Act earlier.
Stock and demand
Fleet and delivery
Warehouse operations
Network overview
Today at a glance
Supplier
Lead-time drift
Warehouse
Stock cover
Transport
Route variance
Customer
Service level
Inbound ordersBy supplier
Stock outlookBy location
Delivery statusBy route
Inventory forecasting
Balance service levels with the cash tied up in stock.
Forecast demand by product, location and season. Set reorder points around real variation in demand and lead times, rather than a fixed rule of thumb.
Priority stock lines
Illustrative view · sort by risk or value
| Product | Class | Cover | Signal |
|---|---|---|---|
| Drive belt 40mm | A | 6 days | Shortage risk |
| Valve housing | A | 18 days | Lead time rising |
| Packaging roll | B | 31 days | Review reorder |
| Spare fastener | C | 74 days | Overstock |
Drive belt 40mm · A class
Shortage risk6 days of cover
Valve housing · A class
Lead time rising18 days of cover
Packaging roll · B class
Review reorder31 days of cover
Spare fastener · C class
Overstock74 days of cover
Example product lines show how exposure can be ranked. Your view uses your own stock, orders and supplier data.
Forecast against actual demand
Seasonal outlook with a forecast range
Forecast range
Actual demand
See stockout and overstock exposure together. Forecast decisions can also show their effect on working capital.
Supplier and lead-time risk
Spot supplier pressure while there is still time to respond.
Supplier performance is more than an on-time score. Track quality rejection, lead-time drift and responsiveness alongside dependency on critical sources.
Rejections and receipt issues
Promised versus actual days
Single-source exposure
Critical component exposure
Supplier dependency and stock cover
ComponentSourceLead timeCover
Drive assembliesSingleDriftingLow
Valve setsDualStableMedium
Transit casesSingleVariableHigh
Scenario view
Supplier delay and demand upliftCover projection · active
Supplier delay and demand upliftCover projection · active
Model the effect of a delayed delivery or a demand increase on stock cover and service exposure before changing the plan.
Transport and fleet
Put route performance and vehicle risk in the same view.
Compare planned and actual routes, then connect delay patterns with utilisation, empty running and fuel cost per drop. No map embed required to see where the operation varies.
Route plan / actual
Illustrative depot-to-delivery run
Planned sequenceDelay at stop 3
Compare arrival windows and recurring delay causes by depot, route and delivery area.
Maintenance watchlist
Ranked from mileage, hours and fault history
Vehicle 18 · service dueHigh
Vehicle 07 · fault trendReview
Vehicle 24 · within planMonitor
Fleet maintenance prediction helps rank checks using service history and vehicle signals.
Fleet utilisation
Illustrative operating measures
72%
Vehicle hours assigned to planned work
Empty running
By depotFuel cost
Per dropTrack delivery windows met, failed deliveries and first-time delivery rates alongside vehicle use.
Warehouse performance dashboards
Measure the work behind every order.
Throughput figures need context. Break down pick rate, lines per hour and dock-to-stock time by shift and area, then compare workload with available hours before the next peak.
Shift comparison
Example view by shift and operating measure
ShiftLines / hrAccuracy
EarlyBy areaBy order
LateBy areaBy order
WeekendBy areaBy order
Include inventory discrepancies and returns processing so accuracy reflects the full flow.
Capacity against workload
Illustrative weekly workload pattern
Wk 1Wk 2Wk 3PeakWk 5Wk 6
Capacity and utilisation views help teams see likely pinch points before seasonal demand arrives.
Operational outcomes
Make the next operating decision with a clearer view.
The measures depend on your data and operating model. Start with the decisions your teams need to make each week.
Right-size stock cover
Separate slow-moving overstock from high-velocity lines at risk of a stockout.
Act on supplier drift
See changing lead times early enough to assess alternatives and adjust replenishment.
Plan maintenance work
Rank vehicle checks using service history, mileage, engine hours and fault codes.
Align labour to demand
Compare warehouse workload with available hours around seasonal peaks.
A practical first step
Find the visibility gaps costing you service and cash.
Tell us where the view breaks down: inbound supply, warehouse throughput or final-mile delivery. Griffith's Digital Insights Ltd. starts with an assessment of the data held in your warehouse, transport, order and supplier systems.
Based in Batley, West Yorkshire. Work with operators across the UK.
- Map the systems and key operating measures you already have.
- Identify where stock, supplier, fleet or warehouse visibility breaks.
- Agree a useful first dashboard or forecast to build.
Discuss your operation
Review your supply chain visibility gaps
Share the systems you use and the decision that needs better information.
Discuss a supply chain reviewHowden Clough Road, Batley, Kirklees, LS27 0LU, United Kingdom