AI consulting and fractional data leadership for logistics and supply chain operators.
Free, 30 minutes. Bring one thing that is stuck.
This is for you if...
A shipment has one status in the warehouse system, another in the carrier portal, and a third in the report your customer is reading.
Tracing a batch back to its supplier means opening three systems and a spreadsheet, and somebody always has to do it by hand.
Landed cost gets worked out after the fact, so you find out which lanes lost money a quarter late.
Every new supplier, site or lane is onboarded by hand, and the integration takes longer than the contract did.
The same five failures, in roughly the same order, across every operator we have worked with.
Eighteen months of roadmap and real spend, and nobody can point at the number it moved.
The warehouse, the carrier and the finance system each hold a different figure for the same shipment, and reconciling them is somebody's Monday morning.
Delivered, in stock and lead time each mean something different depending on the system, so planning runs on numbers that were never the same number.
An order never reaches the supplier and a delivery arrives short, and no alert fires on either one.
Every new supplier, site or lane queues behind a roadmap you do not control.
A free checkpoint call decides which of these you actually need. Supply chain work usually starts with the data layer.
Every supplier order placed by hand, all day
Quick-commerce operator, 200+ warehouses
A quick-commerce operator running over 200 warehouses was placing every supplier order by hand. Thousands of weekly orders were built in spreadsheets and sent out by email. Reconciliation against deliveries and invoices was beyond capacity, so the whole P2P process had become a major issue. To solve this, the commercial operations platform was extended with direct supplier connection in less than a month, through a partnership with an integration provider. Orders, confirmations and delivery notes would then move between their systems and their suppliers' systems automatically and provide cleaner data to be matched against invoices without anybody rekeying them.
Start with a free call. From there we either run a full value iteration on your stack and hand you the plan, or we stay on as your fractional CTO for data and AI.
Free, 30 minutes
Bring one thing that's stuck. We tell you what's wrong with it and what to do first. For free.
Book a checkpointScoped engagement, one-off
We analyse your whole stack and build a pragmatic plan: what's broken, what to fix first, and who should own it. Your team or any vendor you hire can run it.
Ongoing, fractional
We work with you for a few hours weekly to push the strategy with e.g. prioritisation, vendor calls, architecture decisions and hiring.
You get a senior technical decision-maker for a few hours a week, without the hire. In practice that means deciding what to build and in what order, choosing between tools and vendors, setting how your data is modelled, and unblocking the decisions your team cannot make on its own. Your integrators and your software vendors keep doing their work. We make sure it is pointed at the right thing.
They execute, and we work out what is worth executing. A 3PL runs what it is given, a forwarder moves what it is handed, and a WMS vendor ships what is on its own roadmap, so none of them owns whether your data model holds up across all three or whether your sequence is right. That is the gap we cover. We take no commission from any vendor, so the recommendation is just the recommendation.
Usually both, and the order matters. Nearly every mismatch we have traced came down to two systems holding the same field under different definitions, with no owner for either. Delivered might mean the dock scan in the warehouse system, the carrier marking the leg complete in transport, and a signed proof of delivery in finance. All three are defensible on their own terms, which is why the argument never resolves. Integrations built on top of that only move the disagreement around faster. We find where each record is actually authored first, give it one owner, then decide what to connect.
By specifying it tightly and buying the connectivity instead of building it. The long projects we see go long because nobody wrote down what the connection had to do before work started, so the scope kept moving. Once the message set, the matching rules and the ownership are settled, the integration itself is a well-understood piece of work and there are providers who do it for a living. We have taken a quick-commerce operator from fully manual spreadsheet ordering to live supplier integration in under a month that way.
Only once the data underneath it is modelled properly. Planning failures in supply chain usually come from supplier lead times, receipts and shortages being recorded inconsistently across systems, and from lead time meaning four things. A better model on that data produces confident wrong answers. Fix the data estate and a fairly ordinary forecast starts working.
It is usually the best time. A rollout is the one moment the business is willing to revisit its definitions, and moving broken master data onto a new system buys you the same problems with a new invoice. We have come in mid-rollout more than once, and the work mostly pays for itself in what does not get carried over.
We specify it, sequence it, and stay close while it gets built. The building is done by your own team or by a vendor you choose. Staying close means we write the specs, sit in the vendor calls, review what comes back against what was asked for, and re-sequence when something turns out harder than it looked. That keeps you able to drop us and keep going, which is the point.
Yes. We are based in Dubai and much of our work is in the UAE, and we have run engagements across Europe and with teams operating in the US. Most of it happens remotely, with time on site where it earns its place.