Find problems before they hit your Amazon metrics: how we built an alert system
A late order costs more than its minutes: it hurts your account health. How we mapped every order from click to delivery and built alerts that flag problems the moment they happen.
On Amazon, your account is judged on numbers like on-time delivery and late shipment rate. When something goes wrong with an order, the clock is already running. Here’s how fixing one late supplier order used to work at Pro Industrial Equipment:
| Step | Time |
|---|---|
| Find which Amazon orders come from that supplier | 3 min |
| Check whether the order is on the warehouse board | 2 min |
| Find the purchase order in the ERP | 2 min |
| Message or call shipping | 2 min |
| Email the buyer | 2 min |
| Wait for an answer | 20 min to hours |
| Buyer investigates with the supplier | 15 min |
| Wait again, then decide what to do | 2–10 min |
That’s about 35 minutes of work per problem, and 1 to 4 hours to get an answer. By then, the carrier had often come and gone. The order shipped late and the metric took the hit. At 4 or more of these a week, that’s about 9 hours a month on one type of problem alone.
Step 1: Map the order journey
We drew every stage an order goes through, from the moment the customer clicks buy to delivery: received, in our system, on a purchase order, received from the supplier, processed, label printed, picked up by the carrier, in transit, delivered. 15 stages in all.
Step 2: List what can go wrong at each stage
For each stage, ask: what failure would we want to know about right away? Some of ours:
- Order on Amazon but not in our system after 6 hours
- Item in stock but not shipped after 12 hours
- Supplier order not received within 24 hours
- Order cancelled on the marketplace but still in our system
- Inventory that doesn’t match across sales channels
- Shopify orders flagged as high fraud risk
- Late carrier pickups
About 60% of these problems could be caught directly from data we already had. The rest needed system changes first.
Step 3: Turn each one into an alert
Each check runs on a schedule, every few hours or at set times like 1:30 PM before the carrier arrives. It sends an email and a text with everything needed to act: order number, SKU, purchase order, current status and movement history. No digging.
Step 4: Log everything
Every flagged order is logged, and we also get notified when an item is received and when it’s waiting for the carrier, with the time between each step. After a few weeks, patterns show up. For example, late deliveries kept clustering in the same western states, which pointed straight at the fix: buy a faster shipping service for those destinations. That’s how you fix causes, not just symptoms.
Start small
You don’t need 50 workflows on day one. Pick the problem that hurts your metrics most often and build one alert for it. Then the next. Within a few months, you’re fixing problems before customers notice them.