OrderScribe
OrderScribe is a digital menu and customer-feedback platform built for restaurants and chains. It collects guest data automatically, alerts staff in real time, and turns one-time visits into return visits.
- Outcome
- 85% data capture rate
- Outcome
- 40% lift in return visits
- Outcome
- 30% AOV growth
The problem
Most restaurants run blind on the operational side. They know the dish that left the kitchen but not whether the guest enjoyed it, whether they'll come back, or what would have changed their mind. Reviews land days later — by then, the relationship is already over.
Existing point-of-sale systems sell themselves on speed of order entry, not on retention. When a guest is dissatisfied, no one knows in time to fix it.
Approach
OrderScribe is a QR-first digital menu layered with a feedback collection step. Each visit captures the guest's contact, satisfaction signal, and order context. Staff get real-time alerts when a guest signals an issue — bringing them back to the table before they leave.
The platform integrates WhatsApp ordering, multi-branch support for chains, multi-language content, and customer analytics that drive retention campaigns.
- Django backend, Next.js storefront, PostgreSQL data layer
- QR-based menu navigation with per-table session tracking
- Real-time feedback alerts via WhatsApp + admin dashboard
- Multi-branch / multi-language / multi-currency
- Customer segmentation and retention tooling
What it delivered
Across pilot deployments OrderScribe consistently moved retention metrics that traditional POS systems leave untouched.
- 85% customer data capture rate per visit
- 40% lift in return-visit rate within 90 days
- 30% growth in average order value
- 5x ROI from retention features alone
What I learned
The hard problem in restaurant tech isn't the menu interface — every QR menu looks the same. The hard problem is the loop: capturing context, alerting staff in time, and converting attention into revenue. That loop turned out to be where most existing tools failed quietly.
Building this also taught me how much restaurant operators value reliability over features. Every additional integration added support load. Lesson: ship the smallest reliable loop, then expand.