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Dispatch Planning
Every Order. The Right Truck. The Most Efficient Route.
Dispatch Planning Software — ML-Optimised Plans, Constraint-Checked, Ready to Execute
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.
The status quo, unpacked
Why Manual Dispatch Planning Costs More at Scale
Pain 1
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.
Pain 2
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.
Pain 3
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.
Pain 4
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.
Inside the engine
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.
Stage 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.
Stage 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.
Stage 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.
So you can: Move more orders per trip without manually deciding which dealers to club or how to sequence stops.
So you can: Lower freight cost per order without renegotiating transporter SLAs.
So you can: Decide from a real comparison, not the only plan the team had time to build.
So you can: Act on a ranked list of plan improvements instead of reviewing every route by hand.
So you can: Plan your entire outbound network from one platform — no merging spreadsheets across regions.
So you can: Catch load incompatibilities at plan time — not at the dock with a truck already booked.
ML Dispatch Planning — Constraints Configured Once, Applied Automatically
Q1
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
Q2
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
Q3
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
Q4
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
Talk to your data
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 · dispatch planning
What do today's two plan variants look like?
Plan A: 214 orders, 38 trucks — 24 FTLs, 14 PTLs. 4,820 KMs. 91 dealers across 6 zones. Freight: ₹3.42L. Plan B runs 2 fewer trucks at the same coverage and TAT — but freight is 4% higher, fewer West-zone clubbing opportunities. Plan A wins on cost today.
1 / 5
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 →
Operational outcomes
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
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
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FMCG
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Oil, Gas & Energy
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Electrical
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Telecom
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Answers in 30 seconds
Frequently asked questions.
The ones we actually hear in discovery — answered in the same language ops leaders use to ask them.
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.
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