TerryCount is an AI-powered linen counting solution for hospitality teams, letting housekeepers text a count or snap a photo to instantly update inventory spreadsheets. The system integrates directly into existing WhatsApp group chats three-second photo scanning, eliminating manual tallying and reducing counting time from hours to minutes. It supports multilingual use, unlimited closets, and reconciles counts against par levels.
Funding
Funding not disclosed
Founders
Product
Problem
Housekeeping teams still count linens by hand, a process that consumes an entire day of staff time. Tall stacks are prone to miscounting, and inaccurate numbers lead to stockouts and costly rush orders. Without a reliable record of what was actually counted, reordering decisions are based on guesswork rather than real data.
Solution
TerryCount provides an AI-powered linen tracking platform that lives directly in the WhatsApp group chat teams already use. Housekeepers can text a count from any phone, or simply snap a photo that the system scans to count every item in about three seconds. TerryCount automatically logs each count with tags, timestamps, and par-level checks, then updates the team's existing inventory spreadsheet without any manual entry. It handles unlimited closets)Skip
Target Audience
Primary customers are hotels, hospitality teams, and housekeeping operations that need faster, more accurate linen inventory tracking without disrupting existing workflows.
Features
- AI computer vision that counts linen piles from a single photo in under three seconds
- WhatsApp-native interface requiring no app download, with text-based counting for any phone
- Automatic spreadsheet synchronization that populates existing inventory files in real time
- Photo scan mode that identifies and logs item types like bed sheets, bath towels, and pillowcases with quantities
- Tagged, timestamped counts with par-level reconciliation to flag discrepancies
- Multilingual support and unlimited closet tracking across the entire property
- Cross-platform compatibility for both iOS and Android devices