The AceCue engine turns a simple photo into a structured, actionable garment profile — and gets sharper every time your team uses it.
A photo is analyzed for fabric type, stain presence and location, and any pre-existing damage. The output isn't a blurry guess — it's a structured garment profile with confidence levels you can act on.
Using the detected fabric and condition, the engine maps each item to the right wash, dry-clean, or press method — and raises a warning when something needs special handling. Your best practices become the default for everyone.
When a staff member overrides a recommendation, that correction feeds back into accuracy. The more your team works, the better the model fits the exact garments and standards of your business.
The AI advises, your team decides. Every recommendation can be reviewed and adjusted, so expertise stays with your people — the engine just makes them faster and more consistent.
Classifies common materials so handling matches the garment, not a guess.
Detects stains with location and likely category to guide treatment.
Captures tears, missing buttons, and wear on the record at intake.
Recommends wash, dry-clean, or press settings per item.
Pairs entry and exit photos into a single, shareable proof set.
Feeds order requirements into store assignment and load balancing.
Clear answers to the questions that matter: what's captured, how long it's kept, and who can see it.
Item photos, detected attributes, care recommendations, staff actions, and order status — tied to each garment's record.
Records are retained for the order lifecycle and a configurable window after, so evidence is available when disputes surface.
Role-based access controls scope every record. Staff see their stage, managers see their stores, customers see their own orders.
Encryption in transit and at rest, a full audit trail of every action, and access that follows the principle of least privilege — security is a default, not an add-on.
Ask us about security