The 11am carrier call, the invoices someone retypes, and the exception nobody chased
We have not published a logistics case study yet. What we have published is how we approach the problems logistics teams bring us: deadlines that get described as real-time requirements, invoices that arrive as PDFs, and exceptions that need an owner rather than another chart.
- Published case study in this industry
- None yet
- Software the floor can open
- By week 3
- Median to first production artefact
- 6 weeks
- Team on a build
- Pod of three, no bench
On this pageWhat we hear in logistics
What we hear in logistics
Each of these comes from an article we wrote for logistics teams, several of them from conversations with logistics clients.
- 01Real time, when the real need is 10:30
An operations lead asked for real-time visibility on shipment exceptions. What mattered was that the 11am carrier call started with a list that was complete as of 10:30.
- 02Invoices arrive as email attachments
Someone opens a shared mailbox and retypes each attachment into the ERP, enough to fill two people's morning, every morning.
- 03Partners who will only ever send a file
A partner's nightly extract lands in a different folder after a server rebuild, the job finds nothing, and the number on the front page stops moving for days.
- 04A supplier changed a column
And your pipeline found out in production. You cannot hold a vendor to a data contract the way you can hold your own team.
- 05The alerts channel everyone has muted
Hundreds of messages a day about conditions nobody on the receiving end can change, so muting it is the only rational response.
- 06The dashboard shows stuck orders but cannot release them
The report is correct. The work of unsticking them still happens in a spreadsheet nobody else sees.
What we can show you
We have not published a case study in this industry, so these are firm-wide delivery figures. We will say on the call which of them came from work like yours.
Across India, APAC, the UK, Europe and the US, from Pune.
Fixed scope and fixed price, measured across all of our engagements.
With your own data in it, not a slide about it.
The people on the call are the people doing the work.
Where to start
Four places a first engagement can begin. Week 1 tells you which one comes first.
- AnalyticsThe screen an operations floor runs from
Exceptions rather than totals, an owner and a clock on each, and a named escalation when nothing gets done.
Command centres ↗ - DataPipelines that notice when a file does not arrive
Jobs that finish, and sources that go quiet treated as an event rather than a green tick.
Data engineering ↗ - ApplicationsOff the shared mailbox and the spreadsheet
The steps your team still does by hand, mapped the way people actually follow them, with approvals that carry an audit trail.
Process digitisation ↗ - ProductThe alert on the right phone
Glimvia sends a structured push notification the moment a threshold is crossed, so nobody has to open a dashboard to find out.
See Glimvia ↗
How the first weeks run
The same three phases in every industry. What changes is what we build in them.
- Week 1, fixed feeAudit
Two calls and a written one-pager. Yours to keep whether or not you continue.
- Weeks 2 to 6Build
Something real in front of real users by week three. Median six weeks to the first production-grade artefact.
- Week 7 onwardOperate
Quarterly reviews and on-call governance. The people who built it pick up the phone.
Questions we get asked
Further reading
- Most real-time requirements are a deadline in disguiseUsually a number that is right before the 11am call.
- When the input to your pipeline is a PDF someone emailedLess about extraction accuracy than about the documents the model gets wrong.
- Some of your sources will never have an API and the design has to say soThis breaks by going quiet.
Start with the Week 1 audit
Two calls and a written one-pager naming the first thing worth building, and who owns it. You keep it either way. NDA-friendly, fixed scope. Write to hello@woodfrog.tech.
