Start where people are repeatedly moving information between systems, checking the same rules or fixing the same handoff.
Automation is most useful when the work is predictable enough to describe clearly. In e-commerce, that often means the points where an order, stock update, customer request or return has to move from one system to another.
Many e-commerce tasks follow repeatable rules across several systems…
1. Orders Moving into Fulfilment
Before: Staff manually exports orders from your store, reformats for your warehouse or 3PL, and uploads to their system. Twice a day, someone's doing data entry.
Orders can pass directly into the fulfilment system, with status updates returning to the store and exceptions routed for review.
What to measure: time from order to dispatch, manual handling per order and fulfilment errors.
2. Stock Moving Across Sales Channels
Before: You sell on your website, Amazon, and Instagram. Someone manually updates stock levels across platforms, praying nothing oversells.
After: A central inventory system pushes real-time stock levels to all channels. Sell one unit anywhere, and all platforms update within minutes.
What to measure: stock differences between channels, oversold orders and time spent updating stock by hand.
3. Review Follow-Up
Before: You know reviews matter, but who has time to send follow-up emails? Maybe you do it manually for some orders.
After: Every customer gets a perfectly timed review request 7 days after delivery. Happy customers leave reviews; unhappy ones get routed to support before they go public.
What to measure: when review requests go out, how many customers respond and how many reviews you collect.
4. Returns and Eligibility Checks
Before: Customer emails about a return. Someone reads it, checks the order, decides if it qualifies, creates a return label, emails it back. 15 minutes minimum.
A returns workflow can collect the request, check defined eligibility rules, generate the next action and send exceptions for review.
What to measure: time to process a return, manual steps per return and delays in refunds.
5. Repetitive Customer Questions
Before: Same questions every day. "Where's my order?" "What's your return policy?" "Do you ship to [country]?" Your team answers them all manually.
Automation or AI can answer suitable routine questions using order and policy information, while routing uncertain or exceptional cases to a person.
What to measure: the share of questions answered without a person, response times and answers that needed correcting.
6. Stock Monitoring and Reordering
Before: Someone checks inventory weekly, creates purchase orders manually, and hopefully doesn't miss anything.
After: System monitors stock levels, predicts when you'll run out based on sales velocity, and either alerts you or auto-generates POs for supplier approval.
What to measure: stockouts, reorder lead times and time spent checking stock levels.
7. Cart Follow-Up
Cart recovery can trigger follow-up based on events such as an abandoned checkout. Test timing, messaging and any incentive against your own conversion data rather than assuming a standard recovery rate.
Choose the Workflow, Then Measure It
You don't need to implement all seven at once. Pick the one that hurts most. Build it right. Measure the results. Then move to the next.
The goal is not automation for its own sake. It is freeing your team to focus on new products, better marketing and customer relationships, instead of moving data between systems.
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Written by
EverEdge Team