DAM Technology Solutions

Digital products for logistics operators

Customer portals, shipment tracking, routing, WMS/ERP integrations, request automation, and notifications.

What we build (06)

Logistics software is mostly translation: between carriers, warehouses, finance systems, and customers, each of whom describes the same shipment differently. These are the pieces we build to make those descriptions agree.

(01)

Customer portals

Where clients place orders and see their own shipments.

(02)

Shipment tracking

Status across carriers and handover points, in one view.

(03)

Routing

Planning that accounts for load, distance, and time windows.

(04)

WMS/ERP integrations

Warehouse and finance systems kept in sync with operations.

(05)

Request automation

Removing manual re-entry between phone, mail, and systems.

(06)

Notifications

Status changes reaching the right person at the right time.

In practice

The hard part is rarely the algorithm. It is that data arrives late, partial, and in three formats, so a route solver or an ETA model is only as good as the reconciliation underneath it. We build that layer first, then add optimisation on top of numbers that can be trusted.

Where AI fits

AI helps where routes, delays, and paperwork multiply

  • (01) Delivery time estimates based on your own historical performance.
  • (02) Route optimisation across constraints a planner cannot hold in their head.
  • (03) Extraction of data from waybills, invoices, and customs paperwork.
  • (04) Assistants answering routine shipment status questions.

Logistics data is fragmented across carriers, warehouses, and clients. Most of the work is making those systems agree before any model is worth adding.

Other industries All industries
(01)

FinTech

Scoring, payments, anti-fraud, compliance workflows.

(02)

E-commerce

Marketplaces, recommendations, warehouse and CRM integrations.

(03)

Healthcare

Telemedicine, protected patient data, scheduling.

(04)

EdTech

LMS platforms, adaptive learning, progress analytics.

First step

Start with a project estimate or AI readiness audit

Software and AI projects require a considered buying process. We offer a clear first step: clarify the challenge, assess the architecture, and identify where AI can create real business value.

If your project involves confidential business information, we can start with an NDA.