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Zinetics

Logistics

Logistics and delivery software that keeps things moving

In logistics, every manual step costs time and money. We build delivery and pickup apps, distributor ordering platforms, rider and driver tools and operations dashboards — and use AI to take paperwork and exceptions off your team's plate.

The challenges

What logistics teams tell us

  • Real-time visibility of orders, riders and deliveries
  • Manual order taking, invoicing and paperwork
  • Coordinating customers, drivers and warehouses
  • Handling exceptions without endless phone calls

Pickup & delivery apps

Customer booking, rider offers, live tracking, payments and chat.

Distributor ordering

B2B bulk ordering, invoices, payments and issue reporting.

Driver & rider apps

Job assignment, navigation, proof of delivery and earnings.

Operations dashboards

Live status, performance metrics and alerts across your network.

AI for logistics

Where AI pays off

Practical AI features we build — measured, secure and integrated with your existing systems.

Document extraction

Read invoices, delivery notes and customs documents automatically.

Exception handling agents

Detect delays and issues, notify customers and propose fixes.

Demand forecasting

Predict volumes to plan riders, stock and capacity.

Customer updates

Answer 'where is my order?' instantly from live data.

FAQ

Logistics software questions

Can you build a delivery app like a courier or rider platform?

Yes. We have shipped pickup-and-delivery and distributor ordering apps, including rider offers, live tracking, payments and in-app chat.

How can AI help logistics companies?

Common wins are document extraction, automated customer updates, exception handling and demand forecasting — each measurable in time saved and errors avoided.

Do you build both the customer and driver apps?

Yes — customer, driver or rider, and admin apps that share one backend, on iOS, Android and web.

Building something in logistics?

Tell us about it — we'll reply within 24 hours with how we'd approach it.