Solutions by industry
Same unit, five different problems.
Sentispec Inventory runs across many locations globally, and ten of those deployments are published in full, from a 5,000 location component store to 85,000 combined locations in retail distribution. The unit is the same in all of them. What differs is what an inaccurate stock record costs you: a stopped production line at €7,000 a minute, a client audit you have to pass, an out of stock in peak week, or a batch you have to account for.
- 3PL and contract logisticsPer client accuracy, audit evidence for contract renewals, and counts across multi customer sites. One 3PL scans 100,000 pallets a month.
- Cold chain and frozenCounting down to minus 23 degrees without keeping anyone in the cold, and with nothing left in the freezer between runs.
- Retail and distributionSeasonal peaks, high SKU churn, and out of stock situations that hit revenue directly. Peak rental exists for exactly these weeks.
- ManufacturingLine side stock and component availability. One site measures production downtime at €7,000 per minute.
- Biotech and pharmaAuditor approved reports generated automatically, batch traceability, and stock held across temperature regimes in the same building.
What is common to all of them
- Nothing changes in the building. No racking modification, no charging infrastructure, no new labels.
- Zero integration effort to start. A stock file in, a discrepancy report out, on the first day.
- Live in five days, including driver training, then four weeks of hypercare.
- Clusters, not single buildings. The flagship deployment is three warehouses and 100,000 pallet locations covered by one recording unit, moving between sites on a rota.
Choosing by role instead
What the count changes depends on the job you do: the shifts you release, the accuracy you have to hold, the hours you spend in the aisle, or the audit line you have to defend. There are pages for warehouse and operations managers, inventory managers, the operators who will actually use it, and finance, audit and risk.
If the question is which system you run rather than which sector you are in, start at integrations.
Across the ten published sites, accuracy after go live runs from 99%+ to 99.99%+, stocktaking cost fell by 80 to 95%, and break even landed between one month and six months or more.
See the ten published deployments and how break even was calculated
Next step
See it count a warehouse like yours.
A 30 minute demo using recordings from a site with your racking, your label format and your sector's constraints.