Logistics & Supply Chain
TMS, WMS, YMS, real-time fleet tracking, route optimization, demand forecasting, cold-chain monitoring, customs integration, last-mile delivery, carrier API.
What we typically cover
- TMS / WMS / YMS
- Real-time fleet tracking
- Route optimization
- Demand forecasting (ML)
- IoT cold-chain monitoring
- Carrier API + customs integration
Typical use cases
3PL operator needing consolidated fleet visibility
A third-party logistics provider manages multiple carriers through disconnected systems. They contact us when end customers start demanding real-time shipment visibility and their current stack can't produce a single source of truth without manual consolidation.
Food or pharma company requiring certified cold chain
Manufacturers in regulated industries need auditable temperature records for retailers and compliance bodies. They come to us when they need IoT sensors, tamper-proof logs, and automated alerts before a shipment breaches its temperature window.
Growing e-commerce retailer with last-mile cost bleed
An online retailer with tripled order volumes is still managing last-mile via spreadsheets and carrier phone calls. They reach out when failed delivery rates and re-delivery costs start visibly compressing margins.
Importer looking to cut manual customs overhead
A company with regular import flows is losing significant staff hours each week to manual documentation. They approach us when they want ERP-to-carrier-to-customs automation without hiring a dedicated IT team to build it.
Frequently asked questions
Do you replace existing TMS platforms or integrate with them?
Integration is the default. We assess available APIs or data feeds in the first technical discovery. Full replacement is on the table only when the incumbent system creates constraints that can't be engineered around — and we'll tell you that assessment straight, not steer you toward the bigger engagement.
What's a realistic timeline to get real-time tracking live?
Where carrier APIs are already exposed, first dashboards typically go live in four to eight weeks. If data originates from EDI files or legacy formats, add three to four weeks for a normalisation layer. We scope this in discovery so there are no timeline surprises mid-project.
How accurate is the ML demand forecasting if our historical data is patchy?
Accuracy scales with data quality. Below 18 months of clean history, models start at lower precision and improve iteratively. We quantify the expected error range before kick-off so your planning teams can set appropriate buffer levels from day one.
How do you handle multi-country customs compliance?
We integrate with major customs broker APIs and national systems — CHIEF/CDS in the UK, DELTA in France, AIDA in Italy, and others. Tariff classification and regulatory sign-off stay with your freight forwarders; we automate the data flow and document generation around their decisions.
Do you work with mid-size operations or only enterprise logistics players?
We're a practical fit from around 20 vehicles or 50,000 annual shipments upward. Below that threshold, off-the-shelf SaaS tools usually cover the need at lower cost, and we'll say so rather than over-engineer. Above it, custom architecture typically pays for itself within 12-18 months.
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