Order exception handling, written down
Before
When an address fails or a SKU is short, whoever notices handles it their own way.
After
Exception types, owners and rules are written down. Everyone handles the same problem the same way.
Orders, returns and inventory, without the rekeying.
Order exceptions, returns, supplier onboarding, inventory reconciliation and promotions run across an ERP, a commerce platform, a WMS and a marketplace or three. The hops between them are where the hours and the stockouts come from.
Where it starts, and what changes.
Read the "before" and find yours. Most retail and e-commerce teams start here and find that half of what they assumed needed AI didn't.
Order-to-fulfilment rules
Before
Orders are checked and re-entered between commerce, ERP and WMS by hand.
After
Clean orders flow with no touch. Anything outside the rules halts and routes with the reason.
The next two levels for retail and e-commerce, and what we typically see
Returns and customer-message triage
Before
Return requests and customer messages sit in a queue until a person reads and decides each one.
After
An agent recommends the resolution under policy; a person approves. Routine cases resolve same day, and autonomy is earned.
Demand and supplier loop
Before
The same SKU stocks out again next month because nobody connects the pattern.
After
Stockout and supplier-delay patterns surface weekly. Reorder thresholds move under review by your planners.
5 to 8
systems a single order can touch between checkout and delivery
Hours daily
commonly spent reconciling inventory across channels by hand
Same-day
return decisions are achievable at L3 with a person on the threshold
Order exception to resolution: before, and after each level.
The left column is what we usually find. The right column is the same process, one level at a time, each step is paid for by the one before it.
KPIs that move, and who notices.
Baseline these before anything changes. The Survey instruments them; the Pilot is measured against them.
| Metric | How to measure it | Who it moves |
|---|---|---|
| Perfect order rate | % of orders delivered complete, on time, undamaged | COO |
| Exception resolution time | Hours from exception to resolved | Customer ops |
| Inventory accuracy | System vs counted, by location | Supply chain, finance |
| Cost to serve | Fulfilment and service cost per order | CFO |
What you get when it's built this way
Margin protected
Fewer manual touches per order and fewer errors that become refunds.
Customers answered faster
Routine messages resolve same day; people handle the hard ones.
Built on your commerce stack
No platform of ours between you and your channels.
Systems retail and e-commerce teams usually run on and where we've built.
We start with what you own. None of these is a partnership we take margin on.
Questions retail and e-commerce teams ask before the first call.
Where should a retail and e-commerce team start with automation?
With order exception handling, written down. It's the step that returns hours before any software is bought, and it makes everything after it cheaper. The assessment tells you whether your process is already past that point.
Do we need AI to improve order exception to resolution?
Usually not at first. Most of the delay in order exception to resolution comes from manual hops between systems, which deterministic rules remove. An agent earns its place only where the inputs vary, and we start it read-only.
Which systems do you build on in retail and e-commerce?
The ones you already run. We start with capability you license and nobody switched on, and we take no margin on anything we recommend. If a different tool would remove a real roadblock, you get the case and the switching cost in writing.
Thirty minutes. Worst case, you lose half an hour.
Bring one process. You leave knowing which level it's on, what to fix first, and whether it's worth doing anything at all.