Automation in logistics: from order to delivery

Logistics automation is the application of digital technologies to eliminate manual tasks across the entire logistics chain: from order receipt and stock management to shipping, transport, and delivery confirmation. In companies where logistics is critical, the difference between manual and automated processes can mean hours of delay, shipping errors, and avoidable costs that directly affect profitability and customer satisfaction.

According to Statista, the global logistics automation market reached 73 billion euros in 2025, growing 12 percent annually. In Portugal, distribution, e-commerce, industrial, and retail companies are investing in logistics process automation to compete with international operators that already operate at high levels of digitalisation.

The logistics chain and its friction points

A typical logistics chain involves multiple parties and systems that often do not communicate with each other:

StageTypical problemConsequence
Order receiptManual entry into the ERP1 to 4 hour delays, transcription errors
Stock managementManual counts, outdated dataStockouts or excess stock
PickingPaper lists, no route optimisationPicking time 30-50% above what is needed
ShippingManual transport documents5 to 10 minutes per shipment on paperwork
TransportNo real-time trackingUninformed customers, overloaded support
DeliveryManual, paper-based confirmationDelayed invoicing, delivery disputes

Automatable logistics processes

The processes with the highest return on automation in logistics are:

Integration between logistics systems

The biggest challenge in logistics automation is not technological. It is integration. A typical logistics operation uses between 3 and 8 different systems: ERP, WMS (warehouse management), TMS (transport management), e-commerce platform, invoicing system, carrier tracking, and CRM.

When these systems do not communicate, the human team acts as middleware: copying data from one system to another, checking consistency manually, and handling exceptions by email or phone.

Automated integration connects these systems through APIs, webhooks, or specific connectors, creating a continuous flow of data (see how to integrate systems). The result is:

  1. Real-time data: the status of each order is visible in any system, without synchronisation delays.
  2. Zero manual transcription: data flows automatically between systems, eliminating copy errors.
  3. Automatically managed exceptions: when something out of the ordinary happens (missing item, invalid address, unexpected weight), the system generates alerts and follows predefined handling rules.

Traceability and real-time visibility

Full traceability from order to delivery is now a customer expectation, not a differentiator. With automation, every step of the process is logged with a timestamp and an owner:

This traceability feeds management dashboards that make it possible to identify bottlenecks, measure cycle times, and make decisions based on real data.

Results and benchmark metrics

Companies that automate logistics processes consistently report:

Technologies and how to get started

For companies that want to automate logistics, the recommended path is:

  1. Map the full flow: document every step from order receipt to delivery confirmation, identifying where manual intervention occurs.
  2. Identify existing systems: which ERP, WMS, TMS, and platforms are already in use and what integration capabilities they offer.
  3. Start with ERP-WMS integration: the link between management and the warehouse is typically the point with the highest immediate return.
  4. Add automatic notifications: low effort, high impact on customer satisfaction.
  5. Expand into optimisation: with data flowing automatically, apply optimisation algorithms for picking, routes, and consolidation.

Engibots helps logistics and distribution companies assess how to integrate systems and automate flows across the chain, from the ERP to the last mile of delivery.