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AI & Automation · Logistics

Workflow automation removed 6,200 manual hours a year from logistics operations

A national 3PL drowned in PODs, e-way bills and billing disputes. We deployed document intelligence and workflow automation across 40 branches, removing 6,200 manual hours a year and cutting billing disputes by more than half.

Client
Confidential logistics operator
Region
India
Timeline
3 months to production
Team
5 specialists

6,200 hrs

Manual effort removed per year

54%

Fewer billing disputes

40

Branches on the automated pipeline

94%

Documents processed without human touch

Context

The situation we found

National 3PL operator with 40 branches and 1,100 vehicles

Engagement model: Automation sprint programme

Every consignment generated paperwork that branch staff keyed into three systems. Reconciliation between delivered consignments and invoices was manual, slow and a constant source of customer disputes.

Challenge

What was blocking the business

The constraints that had to be resolved before any technology decision mattered.

Scanned PODs and e-way bills processed by hand across 40 branches
Billing disputes arising from mismatched consignment and invoice data
Exceptions (damage, delay, short delivery) tracked over email and phone
No single operational picture for control-tower decision making

Approach

How we solved it

The decisions that produced the outcome, not a feature list.

Document intelligence

OCR plus LLM extraction converts scanned PODs, e-way bills and delivery challans into structured records with confidence scoring.

Confidence-based routing

High-confidence extractions post automatically; anything ambiguous routes to a human queue with the source image side by side.

Automated reconciliation

Consignment, POD and invoice data matched nightly, with exceptions raised as tickets instead of surfacing as customer disputes.

Control-tower dashboard

One operational view of in-transit consignments, exceptions and branch performance, refreshed in near real time.

Delivery roadmap

How the programme ran

  1. 01

    Process & volume audit · 2 weeks

    Document taxonomy, volume baselining and automation candidate scoring.

  2. 02

    Extraction pipeline · 5 weeks

    OCR/LLM pipeline, confidence thresholds and human review console.

  3. 03

    Reconciliation & exceptions · 3 weeks

    Matching engine, ticketing workflow and branch rollout.

  4. 04

    Control tower · 3 weeks

    Operational dashboard, alerting and performance reporting.

Results

What changed after go-live

Measured in the client's own systems against the baseline captured in discovery.

Branch staff moved from data entry to exception handling
Billing disputes more than halved through nightly reconciliation
Operations leadership gained a single live view across branches
Document turnaround dropped from days to hours

Stack & integrations

What it was built on

Technology stack

PythonFastAPIReactPostgreSQLKubernetes

Integrations

Transport management systemE-way bill portalAccounting/billingEmail and WhatsApp alerts

FAQ

Questions about this engagement

Logistics

Facing something similar in logistics?

Share your current systems and constraints. We will return an approach, phased plan and the outcome metrics we would commit to — under NDA.

Request a proposal for logistics

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