Our partners send data in every format imaginable. Can that be normalised?

That is exactly the job, and it is where AI genuinely helps — a model handles the emailed spreadsheet with a different column order each time, which a rigid parser cannot. Structured feeds still go through deterministic parsing, because it is cheaper and more reliable where the format holds.

Does invoice audit really pay for itself?

On unaudited freight volume, usually yes and often quickly. Recovery of 3-6% is typical in the first year, because sampling-based audit misses most of the small systematic overcharges. We will estimate against your actual invoice volume before you commit.

Can you predict delays?

We can flag deviations from plan reliably and early, which is where the operational value is. Genuine predictive ETA modelling needs consistent historical data most operators do not yet have — we will say so rather than sell a model that cannot be trained.

How do you handle systems with no API?

Carrier portals, emailed reports and file drops all get handled, and we are explicit that these paths are more brittle than an API. Where a partner has an API and simply has not enabled it, the cheapest fix is often the commercial conversation rather than the engineering one.

By industry

AI & Automation for Logistics & Supply Chain

Exceptions handled before anyone calls to complain

Discuss your requirements

We design around

DPDP Act 2023
Customs documentation requirements
GST e-way bill compliance
ISO 27001

88%
Shipping documents processed automatically: 3-6%
Freight spend recovered via invoice audit: 70%
Track-and-trace enquiries auto-resolved

What we hear

The problems that bring people to us

If several of these describe your week, there is almost certainly something worth automating.

Shipping documents keyed in manually at every handoff
Exceptions discovered when the customer calls
Track-and-trace enquiries consuming the operations team
Freight invoices audited by sampling, so overcharges pass
Every partner integration is a bespoke file format

What we build

Where automation pays off in logistics & supply chain

Document automation across the chain

Bills of lading, airway bills, packing lists, customs paperwork and delivery notes extracted, validated and posted. Removes the re-keying that happens at every handoff and the errors it introduces.

Proactive exception detection

Monitor milestones against plan and flag deviations as they happen, with the case assembled and the customer notified. Being told about a delay is very different from discovering one.

Track-and-trace automation

Status enquiries answered automatically across carrier systems, in the customer's channel. Removes a large share of inbound volume that carries no decision.

Freight invoice audit

Every invoice checked against contracted rates, accessorials and actual service, not a sample. Recovery typically pays for the engagement.

Partner integration layer

One normalisation layer for the EDI, CSV, API and emailed-spreadsheet formats your partners insist on, so onboarding a new one stops being a project.

Logistics runs on documents

Every handoff generates paperwork, and at every handoff someone re-keys it. The errors compound: a wrong weight becomes a wrong rate becomes a disputed invoice becomes a phone call three weeks later.

Automating document handling across the chain is unglamorous and it is where the largest, most reliable savings are. It also improves data quality for everything downstream, which is what makes the second and third automations cheap.

Exceptions are the real product

Customers do not call because a shipment arrived. They call because it did not, and because nobody told them.

Monitoring milestones against plan and surfacing deviations as they occur changes the operational posture entirely — from answering complaints to sending notifications. The engineering is straightforward; the value is disproportionate.

What we will not overpromise

Predictive ETAs. The demos are impressive and the data requirements are real — consistent, labelled historical movement data at volume, which most operators do not have yet. We will build the deviation detection that delivers most of the operational value now, and tell you honestly what would need to be true before prediction is worth attempting.

FAQ

Questions we get asked

Talk to someone who has worked in logistics & supply chain

Bring a process that annoys you. In 30 minutes we will tell you whether AI helps, what it would cost, and where it would fail — even if the answer is don't bother.

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