Dispatch Planning Software India | Route Optimization
Every order. The right truck. The most efficient route.
Enmovil dispatch planning software is an AI-native, ML-driven platform that takes daily indents, live fleet availability, and plant dispatch windows — and generates multiple optimised dispatch plans with truck allocations, FTL/PTL split decisions, route sequences, and freight cost comparisons, ready for execution across multi-depot outbound operations on Indian highway corridors.
See CADDIE answer itWhy manual dispatch planning costs more at scale
When dispatch planning is built manually — one plan, one planner, no comparison — the suboptimal schedule ships every day and cost compounds quietly across every route.
Trucks leave half-empty
Without automated load clubbing across dealers and zones, PTLs pile up and FTL opportunities slip — freight cost per order climbs quietly every cycle.
Plans built from one option
Planners ship a single schedule — no way to weigh cost-optimised against TAT-optimised or truck-count-minimised. The suboptimal plan moves because it is the only plan.
Constraints checked manually
Fleet capacity, dealer windows, touch-point limits, FTL/PTL eligibility — all cross-checked by hand. Errors surface at the gate, with a truck already waiting.
Freight cost visibility comes too late
Cost per order and FTL/PTL freight impact only get reviewed after dispatch is confirmed — when the trucks have already left.
Enmovil generates ML-optimised, constraint-checked plan variants — so planners pick the best plan before a single truck leaves the dock.
How Enmovil dispatch planning software works — Ingest. Optimise. Compare.
Pulls daily indents and fleet data from ERP, applies every configured rule, and generates multiple optimised plan variants for side-by-side comparison.
- 01
Ingest
Daily indents, vehicle availability, dealer delivery windows, freight rate cards, and plant operating hours pulled from ERP or uploaded directly — validated for completeness before the run.
- 02
Optimise
ML applies fleet types, zone preferences, route restrictions, touch-point limits, and volume/weight limits in one pass — generating multiple constraint-compliant variants with FTL/PTL decisions made at order-clubbing level.
- 03
Compare
Each variant presented side by side — truck count, FTL/PTL split, total KMs, dealer coverage, freight cost, TAT. The confirmed plan triggers dispatch scheduling and ePOD for execution tracking.
Technical details · capabilities and constraints
- ML-Driven Route & Load Planning
- ML clubs dealers by zone, weight, and volume to maximise vehicle fill rate while respecting touch-point limits and time windows — improving from each completed cycle.
- So you canMove more orders per trip without manually deciding which dealers to club or how to sequence stops.
- FTL/PTL Optimisation
- Spots where partial truckloads can roll up into full truckloads — surfaces the exact orders to merge and cuts PTL count across the schedule.
- So you canLower freight cost per order without renegotiating transporter SLAs.
- Plan Comparison & Selection
- Multiple plans presented side by side — trucks, FTL/PTL split, total cost, total KMs, dealers covered, and TAT compared before confirmation.
- So you canDecide from a real comparison, not the only plan the team had time to build.
- Recommendations Engine
- After each run, surfaces specific actions with quantified KM, cost, or truck savings — trucks with headroom, PTLs to merge, routes to shorten.
- So you canAct on a ranked list of plan improvements instead of reviewing every route by hand.
- Multi-Depot Outbound
- Plans run simultaneously across plants and DCs — fleet availability and constraints maintained per depot, with cross-plant consolidation where transporter SLAs allow.
- So you canPlan your entire outbound network from one platform — no merging spreadsheets across regions.
- 3D Load Building Integration
- Vehicle type and cargo dimensions validated against 3D load building constraints before plan confirmation.
- So you canCatch load incompatibilities at plan time — not at the dock with a truck already booked.
ML dispatch planning — Constraints configured once, applied automatically
Vehicle & Load Rules
- Min/max CMT and weight per vehicle type
- Fleet availability checked by plant per run
- Max touch points per vehicle — by fleet category
- Volume and weight enforced simultaneously
Route & Time Windows
- Zone-level routing per origin and destination
- Preferred and restricted segments in stop sequencing
- Plant operating hours — no dispatch outside windows
- Dealer opening and closing hours applied per location
Compliance & Documentation
- E-way Bill eligibility validated at plan level
- Transporter SLA thresholds checked before assignment
- Holiday and weekend restriction calendars per depot
- ePOD trigger set at plan confirmation for execution handoff
Optimisation Objectives
- Optimise by freight cost, distance, TAT, or truck count — per run
- Prioritise local loads before distant smaller ones
- Spot vehicle inclusion toggled per run
- MOQ thresholds for order clubbing — held or merged below threshold
Ask your dispatch planning platform anything — Caddie AI
Caddie reads live plan data — truck utilisation by zone, FTL/PTL split, PTL consolidation opportunities, freight cost per variant — and answers in plain language.
From Plan Generation to PTL Consolidation — One Conversation
Caddie turns daily plan data into quantified decisions — PTL merges, capacity adds, cost comparisons — before a truck leaves the dock.
SEE CADDIE + DISPATCH PLANNING TOGETHER — Ask Caddie about your own daily plan in a live demo →
What ML-driven dispatch planning delivers for operations and supply chain teams
80%
reduction
Planning time per dispatch cycle
FTL
maximised
Full truckloads increased per run through ML clubbing
15–20%
lower
Freight cost per order versus manual planning baseline
0
constraint errors
At plan confirmation — all rules applied before the truck is booked
Ranges seen across Enmovil deployments · your KPIs are set against your own baseline
Case study · fmcg
Cutting logistics cost 5% and gaining freight control across a national FMCG network
Manual reality
BEFORE — Manual Dispatch Planning:
- Planner builds one schedule by hand → no comparison available
- Constraints checked manually → errors found at the gate
- PTLs discovered late → low-fill trucks move anyway
- Freight cost reviewed after dispatch → no pre-confirmation visibility
- Plan locked → no recommendations, no optimisation loop
With Enmovil
AFTER — With Enmovil Dispatch Planning Software:
- Orders ingested from ERP → multiple ML-optimised plans generated in minutes
- All constraints auto-applied → zero manual cross-checking required
- PTL consolidation surfaced with cost saving before confirmation
- Freight cost visible per plan variant → decision made on full information
- Plan confirmed → ePOD trigger set, ERP synced, execution ready
The Operational Shift, Across Every Team That Touches Dispatch
FOR DISPATCH PLANNER
Multiple constraint-checked variants with specific PTL merges and capacity actions surfaced before confirmation — planning cycle drops from 2–3 hours to under 30 minutes.
FOR LOGISTICS OPERATIONS MANAGER
FTL/PTL ratio, vehicle fill rate, and freight cost per order visible at week and month level with drill-down to plan runs. High-PTL zones surface in the data — no three-spreadsheet hunt.
FOR SUPPLY CHAIN DIRECTOR
Freight cost and dispatch efficiency across plants and regions in a single view, with quantified impact per run. When freight spend climbs on a corridor, the data names the cause — load clubbing, route, or SLA.
FOR TRANSPORTER PARTNER
Clear dispatch plans, load details confirmed before truck placement, and route assignments that honour SLAs — better utilisation, more predictable trips, fewer partial returns.
Trusted by industry leaders
Industries served
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Automotive
Dispatch Planning
FMCG
Forecasting
Construction
Dispatch Planning
Industrials
Tracking & Visibility
Pharma
Tracking & Visibility
Oil, Gas & Energy
Dispatch Planning
Electrical
Tracking & Visibility
Telecom
Dispatch Planning
What buyers ask us first.
Asked in discovery calls, answered plainly.
Enmovil dispatch planning software is an AI-native, ML-driven platform that takes daily indents, live fleet availability, and plant dispatch windows — and generates multiple optimised dispatch plans with truck allocations, FTL/PTL split decisions, route sequences, and freight cost comparisons, ready for execution across multi-depot outbound operations on Indian highway corridors.
Adjacent supply chain modules
New to the topic? Read the guide: What is dispatch planning and route optimization?
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