Dispatch Planning
Dispatch Planning Software That Turns Partial Loads Into Full Trucks
TranslytiX plans vehicle placement, consolidates loads across nearby outlets, and sequences routes with OR algorithms handling 50+ constraints at once — weight, volume, product-clubbing rules, and SLA windows — connected live to inventory so dispatch never fights yesterday’s stock position.
- improvement in sales conversion
- 12%
- reduction in logistics cost (PTL→FTL)
- 6%
- constraints optimized per dispatch run
- 50+
What is dispatch planning software?
Dispatch planning software decides which vehicle carries what, to which outlets, on which route — turning a replenishment plan into an executable delivery schedule. Done manually or in spreadsheets, this means partial truckloads, inefficient routing, and dispatch decisions made blind to real-time inventory, all of which quietly inflate transportation cost and still miss delivery windows.
TranslytiX calculates SKU-wise dispatch requirements from the replenishment plan and live Days of Supply, then consolidates orders from nearby outlets to maximise per-vehicle fill rate, selects the optimal vehicle type per load profile, and sequences stops with an OR algorithm that minimises travel distance and time. A push-pull strategy blends forecast-driven dispatch with pull triggers from actual consumption, and live inventory positions feed directly into the plan so dispatch decisions never lag behind what is actually on the shelf.
What TranslytiX dispatch planning does
Demand-based vehicle placement
Allocates inventory to vehicles by shipment weight, destination, and Days of Inventory — minimising partial truckloads (PTL).
Load consolidation
Clubs orders from nearby outlets by proximity and vehicle type to maximise per-vehicle fill rate and cut the number of trips.
Live inventory-dispatch integration
Pulls real inventory positions into the dispatch plan, reducing unplanned inter-depot transfers and last-minute stockouts.
Push–pull dispatch strategy
Push dispatch runs on forecast, DOI, and stock norms; pull dispatch triggers from actual consumption, sales orders, or inventory thresholds.
Vehicle & route optimization
An OR algorithm sequences stops to minimise distance and time, selecting vehicle type and handling multi-depot routing in one run.
Manual override & planner controls
Merge or split routes, prioritise critical shipments, and manage customer SLA overrides — automation with a human in the loop.
Dispatch that knows what inventory actually knows
Most dispatch tools plan routes from a static order file. TranslytiX connects dispatch to the same live inventory and demand signal driving the rest of the plan:
- Live DOS and stock position feed every dispatch run, so vehicles are loaded against what is actually available, not a snapshot from last week.
- Push-pull logic adapts to the SKU: forecast-driven push for stable demand, consumption-triggered pull where real-time signal is more reliable than a forecast.
- OR-based routing handles 50+ constraints simultaneously — weight, volume, product-clubbing rules, urgent-order skip-queue, multi-depot — where manual planning caps out far earlier.
- Coming soon: dynamic DOI thresholding by seasonality and ABC class, advanced multi-stop routing (Clarke-Wright, TSP heuristics, traffic-aware), and region-wise performance dashboards.
Built for mid-market manufacturers, not just enterprise budgets: TranslytiX (TX) plugs in above the ERP you already run — SAP, Oracle, ERPNext, or Tally — with no rip-and-replace, and is deployed in outcome-based 90-day cycles.
Proven in production, not in slides
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Read the success storyQuestions, Answered
Dispatch planning software decides which vehicle carries which SKUs to which outlets on which route, turning a replenishment plan into an executable delivery schedule. TranslytiX calculates dispatch requirements from live Days of Supply, consolidates orders from nearby outlets to maximise vehicle fill rate, selects the optimal vehicle type per load, and sequences routes with an Operations Research algorithm that handles 50+ constraints — weight, volume, product-clubbing rules, SLA windows — simultaneously. Company-reported results include a 12% improvement in sales conversion and a 6% reduction in logistics cost through PTL-to-FTL (partial to full truckload) conversion.
Partial truckloads happen when orders are dispatched as they come in rather than consolidated for maximum vehicle utilisation. TranslytiX addresses this by clubbing orders from nearby outlets based on proximity and vehicle type before dispatch, applying weight, volume, and product-clubbing constraints to maximise how full each vehicle runs. Demand-based vehicle placement also allocates inventory to vehicles based on shipment weight, destination, and Days of Inventory specifically to minimise PTL frequency. Reported results include a 6% reduction in logistics cost through PTL-to-FTL conversion.
Push-pull dispatch strategy blends two triggers for when stock moves. Push dispatch sends inventory based on forecast, Days of Inventory targets, and stock norms — appropriate for stable, predictable demand. Pull dispatch is triggered by actual consumption, incoming sales orders, or inventory falling below a threshold — better suited to volatile or fast-changing demand. TranslytiX applies both within the same platform, letting different SKUs or channels use whichever logic fits their demand pattern, rather than forcing one dispatch philosophy across the entire network.
TranslytiX pulls live inventory positions directly into the dispatch plan rather than treating dispatch as a separate downstream step. Dispatch requirements are calculated from the replenishment plan and live Days of Supply, so vehicles are loaded against actual current stock rather than a stale snapshot. This integration is what reduces unplanned inter-depot transfers — a common cost driver when dispatch and inventory visibility are disconnected — and keeps dispatch priorities aligned with what the network can actually fulfil at the moment of loading.
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