Case study - AI & logistics

How agentic AI is transforming logistics

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See it in action.

How autonomous AI agents took Formula2Ship from manual courier operations to logistics that optimise themselves.

Outcomes

Measurable business impact.

22,000+

Orders processed per day (from 5,000)

<25

Ops escalations per week (from 110+)

13%

RTO rate (from 19%)

3.2×

Monthly revenue growth in 3 months

01

Challenges

Formula2Ship had a bold mission:

To simplify logistics by giving shippers multiple courier partners through one platform that picks the best partner for each order based on cost, performance, delivery time, and region.

But once shipments reached thousands a day, the traditional rule-based automations started to break:

  • Rate APIs were slow or failed intermittently
  • Orders with special constraints (COD, temperature-sensitive, high priority) needed constant manual overrides
  • SLA violations were hard to predict or recover from in real-time
  • Logistics ops teams were overwhelmed by exception handling

02

The Emeis Solution: Agentic AI for Logistics Autonomy

Emeis Technologies stepped in as a deep-tech AI strategist as well as the development partner.

We deployed our Agentic AI Framework at Formula2Ship so agents could make and act on decisions themselves in four key areas:

03

How Agentic AI Transformed Formula2Ship

  1. Smart Shipment Orchestration. Instead of static courier rules, we deployed autonomous agents that:
    • Assessed live rate APIs across providers
    • Balanced delivery SLAs, cost, RTO risks and geographic history
    • Made shipment decisions in real time, without human input
  2. Proactive Exception Handling. Agents watched for API failures, SLA breaches and undelivered shipments, then acted on their own: re-assigning shipments, notifying clients or switching logistics partners with zero downtime.
  3. Autonomous Workflow Optimisation. Agents adjusted pickup batching, last-mile partner choices and delivery timings on their own to:
    • Reduce RTOs by 14%
    • Improve on-time delivery by 21%
    • Save the ops team 60+ man-hours per week
  4. AI-Driven Customer Communication. Agents personalised WhatsApp/SMS updates based on user behaviour, delivery progress and past interactions, which raised NPS and cut support load.

04

Technical Highlights

  • LLM-powered agents with real-time retrieval + memory

  • Tool-using architecture: Courier APIs, tracking APIs, ERP connectors

  • Goal reprioritization on the fly as conditions change

  • Feedback loops to continuously learn from failed deliveries

Agentic AI logistics platform overview

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