Scan the bin
An employee scans every unit present — no printed list to compare.
Service · Inventory Accuracy & Reconciliation
Inventory accuracy and reconciliation automation.
Built-N-AI builds barcode-driven cycle-counting workflows that compare what is physically in a bin to what the ERP expects and reconcile the difference automatically — no separate cleanup step, and no phantom inventory promised to customers.
The problem
Counting is easy. Reconciling is the hard part.
The difficult work is resolving discrepancies: where missing units belong in the system, whether they stay sellable, and how to correct units that are physically in one bin but expected in another. In the case study, most of that was manual.
What we build
The employee captures reality. The system reconciles itself.
Missing units held
Anything expected but not scanned moves to non-sellable holding immediately.
Mislocated units corrected
Anything scanned but expected elsewhere has its ERP location updated on the spot.
Connected to picking
Picking overrides feed the same workflow, so exceptions found on the floor get reconciled, with every adjustment logged.
Proven results
What changed in prior operating work.
Real-timeBin reconciliationAt the moment scanning finishes
AutomaticMissing inventoryMoved to non-sellable holding
AutomaticMislocated inventoryERP location corrected on scan
FullAudit trailWho, what and when on every adjustment
How engagements start
Call, assess, then prove it on your data.
Every engagement starts with a free 30-minute call. If there is nothing worth your money, we will say so.
The next step is a flat-fee assessment ($1,500–$2,500 based on company size): a written report in one to two weeks that ranks opportunities by value against effort — including the ones where AI is the wrong tool.
Proven workflows can start with a short pilot on your own data before you commit to a full build. Founding-client pilot pricing is listed on each case study.
Start with a conversation
What problem is costing you more than it should?
Let’s spend 30 minutes looking for the first problem worth solving.