The cost of a single wrong case is much higher than the case itself. First you eat the credit. Then you pay to redeliver. Then, the part nobody puts on the P&L, you spend a tiny chip of customer trust. Across a year, a 3% order error rate at a $40M distributor works out to roughly $1.2M of margin walking out the door.
Most distributors think the answer is to retrain the order desk. It isn't. The answer is to remove the human from the most error prone steps and put them on the steps where they actually add value.
Where the errors actually come from
We pulled error data from five distributors over a 12-month window. The breakdown was remarkably consistent:
- ~42% wrong SKU keyed (similar names, similar codes)
- ~26% wrong quantity or wrong unit of measure
- ~14% pricing override applied incorrectly
- ~10% order missed entirely (voicemail, lost text, etc.)
- ~8% wrong delivery date or route assignment
86% of order errors happen at the moment a human translates what the customer said into what the ERP needs to hear.
The five-step playbook
1. Capture the order in the customer's words
Stop translating. If a chef says “four salmon and two ribeyes,” record exactly that. Whether it is a voice call, a WhatsApp message, or a text, the original phrasing should sit next to the order forever. When something goes wrong, you can replay the source.
2. Match SKUs deterministically, not by guesswork
Every customer should have a personal catalog. The SKUs they actually order, with the names they use. “The usual ribeye” should resolve to the same SKU every single time, and never to the wrong one. New requests should match against a catalog with their pricing pre-applied.
3. Confirm before committing
A 30-second readback at the end of the order catches almost half of the remaining errors. Voice agents are particularly good at this. They don't get tired or rush.
4. Validate against pricing rules at write-time
Don't trust the order desk to remember which customer gets the contract price on shrimp. The system should apply the rule and warn if a manual override would breach contract terms.
5. Catch missed orders with a no-order alert
Most distributors don't know a regular customer hasn't ordered until the rep notices three days later. A simple no-order by-cutoff alert reaches the customer in time to recover the order, and often turns up real issues. Closed kitchen, switched supplier, complaint that never made it back.
What 90% reduction looks like in practice
3.1%
error rate before (industry typical)
0.3%
error rate after (Niun customer median)
~10×
improvement, sustained quarter over quarter
These aren't Niun specific numbers. They are what good order capture buys you, with any vendor that takes the playbook above seriously. The point is the size of the prize. A 10× improvement on order accuracy is one of the highest leverage moves you can make in operations.
Reality check
You won't get 90% reduction on day one. You will get the first 60% in the first month, just from removing manual SKU translation. The rest comes over the following quarter as your customer specific catalogs get sharper.
You don't need to change your ERP
Notice that none of these steps require ripping out the system of record. They all happen upstream of the ERP, in the order capture layer. The ERP just needs to receive cleaner orders. That means you can fix this problem without a multi-year migration project, which is the part most distributors find hardest to believe.