What to expect in the "Top 10 e-commerce processes" guide
Why is process automation crucial in e-commerce?
This chapter answers the question of which operational e-commerce processes are especially time-consuming and costly and why they are ideal for AI automation.
The guide shows that by automating core customer service and back-office processes, companies can reach automation rates of up to 60% – provided the right use cases are prioritized and properly connected.
The focus is on seeing automation as an integral part of modern e-commerce operations – from the first customer request to the after-sales process.
How can you automate shipping and order status?
Shipping and order status are among the most common reasons for contacting customer service. This chapter shows how AI agents retrieve order information from store or ERP systems and inform customers in real time about status, carrier or tracking.
The goal is to quickly relieve support while delivering consistent answers around the clock.
How can orders be canceled automatically?
Cancellation requests are especially common outside service hours. This chapter explains how order cancellations can be checked and triggered automatically, depending on the current order status.
This reduces manual work, and customers get instant clarity without waiting for a support agent.
How do automatic delivery address changes work?
Incorrect delivery addresses are a classic e-commerce problem. This chapter shows how address changes are made directly in the store or ERP system as long as the order hasn't shipped yet.
It also explains which information is required and how to avoid returned parcels, errors and extra costs.
How can you automate returns processes efficiently?
Returns – especially in fashion – create a lot of operational effort. This chapter describes how AI agents capture return requests in a structured way, ask for relevant information and hand the process over cleanly to downstream systems or employees.
The goal is a transparent, clear process for customers with less load on support.
How are complaints and product defects handled automatically?
Complaints are sensitive and require a fast, empathetic response. This chapter shows how AI agents capture defect reports including photos, pre-qualify them and route them to the right workflow.
This ensures complaints are handled efficiently without putting customer satisfaction at risk.
How can return labels be provided automatically?
A missing return label is a common follow-up problem with returns. This chapter explains how return labels can be created automatically and sent straight to customers.
The benefit: fewer manual follow-ups and a much faster returns process.
How can product availability be checked automatically?
Customers want to know whether products are available or when they'll be back in stock. This chapter shows how AI agents query stock levels, communicate availability and optionally trigger back-in-stock notifications.
This reduces abandoned purchases and prevents support requests.
How can invoices be issued automatically?
Invoices often get lost in the inbox or customer account. This chapter explains how AI agents provide invoices automatically at any time once customers have identified their order.
This reduces follow-up questions and relieves accounting and customer service alike.
How can billing details be changed automatically?
Like delivery addresses, billing details often need correcting. This chapter shows how AI agents update billing information automatically, provided the system allows the required access.
The focus is on accurate data, less manual rework and faster processes.
How can the status of a return be checked automatically?
After sending a return, customers want to know whether and when it was received and processed. This chapter shows how AI agents retrieve the return status and communicate it transparently, including refund information where available.