Skip to content
Ilmora Technologies

INDUSTRIES / LOGISTICS & SUPPLY CHAIN

Logistics & Supply Chain, transformed with intent.

We build the optimization and visibility systems that move margins in logistics: smarter routing, honest ETAs, automated warehouses, and planning that sees disruption coming.

OVERVIEW

How we work in logistics & supply chain

Logistics runs on thin margins and thick complexity: volatile demand, driver constraints, fuel costs, port congestion, and customers who now expect Amazon-grade visibility from every carrier. Ilmora's logistics practice has delivered optimization and platform engineering for parcel and LTL carriers, 3PLs, freight forwarders, and large shippers — systems currently orchestrating over 1.2 million shipments a month.

Our differentiation is operations-grade engineering. Optimization models are only useful if they respect real constraints — hours-of-service rules, dock schedules, trailer capacities, customer time windows — and produce plans dispatchers actually run. We embed with operations teams, encode the constraints that matter, and measure results in cost per shipment and on-time percentage, not solver elegance.

Measured outcomes

reduction in cost per delivery from route optimization
14%
reduction in cost per delivery from route optimization
on-time delivery after predictive ETA and exception management
96.2%
on-time delivery after predictive ETA and exception management
less picker travel from slotting optimization
27%
less picker travel from slotting optimization
of routes planned touchless within two quarters
85%
of routes planned touchless within two quarters

THE CHALLENGES

What's standing in the way

The problems we hear most often from logistics & supply chain leaders — and the ones our engagements are scoped to solve.

01

Routing left to habit and heuristics

Manual and static route planning leaves 10–20% of fleet cost on the table through excess miles, poor consolidation, and unbalanced workloads.

02

Visibility gaps and unreliable ETAs

Customers demand real-time tracking, but data arrives fragmented from telematics, carriers, ports, and paper PODs — and padded ETAs erode trust.

03

Warehouse labor volatility

Slotting, wave planning, and labor scheduling built on spreadsheets can't adapt when volumes swing 40% week to week.

04

Reactive network planning

Capacity and inventory positioning decisions are made after disruptions hit, because demand signals and network state live in disconnected systems.

OUR SOLUTION

From constraint to capability

We start with a real-time logistics data backbone: telematics, TMS/WMS events, EDI/API carrier feeds, and IoT signals streaming into a network model that always knows where everything is. On that backbone we deploy the optimization layer — dynamic route optimization with full operational constraints, ML-based ETA prediction that beats carrier estimates, load-building and consolidation engines, and warehouse slotting and labor-planning models.

Everything is built as decision support first, automation second: dispatchers see the recommended plan with the reasoning, override with a click, and the system learns from those overrides. Once trust is earned, automation rates climb — our carrier clients typically reach 80–90% touchless planning within two quarters of go-live.

Route & load optimization

Constraint-aware vehicle routing, load building, and consolidation engines that cut miles and improve trailer utilization.

Predictive ETAs & visibility

ML ETA models on telematics and network data, unified tracking portals, and proactive exception alerts to customers.

Warehouse intelligence

Slotting optimization, wave and labor planning, and computer vision for dock and yard operations.

Demand & capacity planning

Network-level volume forecasting driving linehaul capacity, staffing, and inventory-positioning decisions.

Freight document automation

AI extraction from BOLs, PODs, customs docs, and invoices — eliminating manual keying and billing disputes.

TMS/WMS integration & platforms

Event-driven integration layers and custom logistics platforms over legacy TMS, WMS, and EDI estates.

TECHNOLOGY

The stack behind the solutions

Representative platforms and frameworks we deploy in this sector — always selected to fit your estate, not a vendor agenda.

Optimization & ML

  • OR-Tools / Gurobi
  • PyTorch
  • LightGBM
  • Reinforcement learning (slotting)
  • MLflow
  • Ray

Streaming & Integration

  • Kafka
  • Flink
  • EDI (X12/EDIFACT)
  • project44 / FourKites APIs
  • Temporal
  • gRPC

Platform & Cloud

  • AWS / Azure
  • PostgreSQL + PostGIS
  • Kubernetes
  • TimescaleDB
  • Grafana
  • Terraform

HOW WE DELIVER

A process built for regulated reality

Five phases, each with a concrete artifact and a go/no-go decision — so you always know where the engagement stands.

  1. 01

    Network diagnostic

    Baseline cost per shipment, on-time performance, and utilization; identify the lane, region, or facility with the biggest gap.

  2. 02

    Data backbone

    Unify TMS, telematics, and carrier feeds into a real-time network model with clean location and event data.

  3. 03

    Optimization pilot

    Run optimized plans in parallel with current planning on a defined region; measure miles, cost, and service side by side.

  4. 04

    Dispatcher-led rollout

    Deploy as decision support with override capture; tune constraints until plans are trusted and touchless rates climb.

  5. 05

    Network-wide scale

    Extend across regions and modes, add continuous re-optimization for intraday disruptions, and monitor savings honestly.

USE CASES

Where clients start

Proven entry points with clear ROI — most engagements begin with one of these and expand from evidence.

Dynamic last-mile routing

Daily and intraday route optimization respecting time windows, driver hours, and vehicle constraints.

Customer-facing predictive ETAs

ML ETAs with confidence bands published to customer portals, cutting where-is-my-order calls.

Warehouse slotting optimization

Velocity- and affinity-based slotting recommendations that reduce picker travel per order.

Freight billing automation

Document AI matching PODs, rate agreements, and invoices to eliminate revenue leakage and disputes.

FAQS

Questions we hear from leaders

Direct answers to the questions that come up in the first conversation.

Ready to move the numbers in logistics & supply chain?

Bring us your hardest operational problem. In a 45-minute consultation, our practice leads will map the highest-ROI starting point and a realistic delivery plan.