Industries · Logistics

AI adoption for logistics and manufacturing ops.

Quotes out the same day, customers updated without asking, exceptions caught before they become complaints. The coordination work handled, your ops team back on decisions.

Book a discovery call Where we’d start

What it looks like in logistics

A quote drafted in forty seconds, and an exception caught before the customer.

Quote request → quoteAwaiting approval

“Need 2×40ft from Nhava Sheva to Jebel Ali, 14 pallets, next week”

LaneINNSA → AEJEA

Base rate$1,180 / 40ft

BAF + surcharges$212

Transit9 days

Total$2,784

Drafted in 40 s · one tap to send

Exception Needs decision

Stock mismatch · SKU 4471

ERP says 120 units, warehouse sheet says 96.
Checked last 3 dispatches: 24 shipped Tue, not posted to ERP.
Two open orders still fulfilable.

Recommended: post Tuesday dispatch to ERP. Pinged Suresh in Slack.

Two things the ops desk stops doing by hand. Illustrative lane and figures.

Where it pays off first

What we'd start with in logistics.

Typical hours back per week for a small team. The first engagement usually picks one.

Across all four

~26

hours a week back. Ranges, not a quote.

Quote requests to quotes

Reads inbound requests from email, WhatsApp, and portals, looks up rates and surcharges, and drafts the quote for approval.

~8hrs/wk Moderate

Customer tracking updates

Sends proactive status updates on the customer's preferred channel and answers where-is-my-shipment questions.

~6hrs/wk Easy to adopt

Exception detection

Watches inventory, orders, and shipments for anomalies, investigates across systems, and escalates with a summary.

~8hrs/wk Involved

Dispatch and driver comms

Coordinates pickups and drop-offs with drivers and confirms back to the office.

~4hrs/wk Moderate

Across all four, roughly 26 hours a week back.

After training

What your team will run themselves.

Adoption means your people own it. What changes for each role once training is done.

Ops desk

Before

Morning lost to quotes, status calls, and chasing.

After

Approve drafts, handle the genuinely unusual cases.

Ops manager

Before

Fire-fighting exceptions after the customer notices.

After

Exceptions arrive investigated, with a recommended action.

Customers

Before

Calling to ask where the shipment is.

After

Told before they ask.

The first 90 days

How it usually runs in logistics.

Week 1

Shadow the ops desk

We sit with the people handling quotes and exceptions for a day. The first win is usually whichever eats the morning.

Weeks 2 to 4

First workflow live

Quotes or tracking updates running inside your inbox and sheets, with a human approving for the first week.

Weeks 5 to 8

Ops team trained, exceptions next

The desk learns to steer it. Exception detection, the bigger win, is scoped with real incident data.

The full journey, step by step, is on how we work.

Results

Logistics work that stuck.

Logistics·A Pune-based auto-components manufacturer

8 hrs/day

recovered from ops manager daily fire-fighting

Pune manufacturer saved 8 hours/day on ops exceptions with an AI agent

Inventory and supply chain exceptions were eating the ops manager's days. Arthat built an agent that detects anomalies, investigates them across 6 systems, and auto-resolves routine cases while preparing complex ones for human review.

Read the story

Tools

Inside the tools logistics teams already use.

No new software to learn. We wire the AI into what your team opens every morning.

Gmail

Slack

Google Sheets

Google Drive

Notion

OpenAI

Anthropic

Questions

Common questions from logistics teams.

01Our data lives in spreadsheets and an old ERP.

That is normal in ops. Sheets are fine to start with, and most ERPs expose enough to read from. We find the least invasive connection in the assessment.

02How do you handle mistakes on quotes?

Quotes go out only after a human approves for as long as you want. Most teams switch to auto-send for standard lanes after a few weeks of clean drafts.

03Can this run on WhatsApp for drivers?

Yes. Driver coordination on WhatsApp is one of the most common builds we do.

Other industries

Ready to make AI part of how your business works?

Book a 30-minute discovery call. We’ll listen, tell you where AI pays off first, and be honest if it doesn’t.

See what we’ve built