Scope/design study - Inventory data automation for a watch business
Automating watch-inventory data collection and management. Scope/design study.
- Client
- WPB Watch Co.
- Year
- Service
- Data extraction, Retail operations, Workflow automation
- Engagement
- Scope/design study
The Challenge
Watch inventory data needed to be collected and updated consistently rather than manually transferred into a central sheet.
The Approach
BeeNex scoped Chrono24 extraction, spreadsheet updates and email notifications, followed by feedback-driven refinement. Website AI and a later B2B SaaS product were separate phases.
Capabilities
- Chrono24 extraction
- Central spreadsheet updates
- Email notifications
- Feedback-based refinement
- Later website AI concept
- Separate B2B SaaS roadmap
Workflow
- Collect source inventory data
- Extract selected fields
- Update central sheet
- Notify staff
- Review data and feedback
- Refine workflow
- Chrono24
- Spreadsheet
- Custom extraction tool
- Generative AI (scope)
Outcome
The agreement sets out extraction, automation and feedback-based refinement, with a separate future product roadmap. Deployment completion was not established in the reviewed record.