Deterministic automation for eCommerce and logistics processes

Many handoffs across eCommerce, ERP, WMS, documents and external services do not need AI. They need clear rules, observable integrations and exception handling. The focus is making deterministic steps predictable before introducing probabilistic tools.

Operational situations

• Data is transferred manually across systems.
• Checks and notifications rely on memory or separate spreadsheets.
• Documents and states are updated without a traceable flow.
• Errors stop the process without retries or ownership.

What delivery can include

• Rules and orchestration across eCommerce, ERP, PIM, WMS and external services.
• APIs, webhooks, queues and scheduled jobs.
• Controls, notifications, retries and exception procedures.
• Document processing where data can be validated against defined rules.

Decisions that define the flow

The work defines initial and final states, required data, idempotency, frequency, failure behaviour, monitoring and the person responsible for intervention.

How the work proceeds

We measure the process, delimit a flow, define acceptance criteria and take it into production with monitoring. See Method.

When AI should be assessed

For classification, extraction or generation with probabilistic output, see Process automation and AI: AI is introduced only with validation, uncertain cases and escalation.

Technologies

PHP/Symfony, Node.js, Golang, APIs, webhooks, queues, schedulers, logs and monitoring tools selected for the actual flow.