Case Study - Goodbye Qeueing. Hello Shopping.
Kiminoban is a mobile application that offers complete customization for queue management, appointment scheduling, and analytics.
- Client
- Kiminoban
- Year
- Service
- Customer Qualification, Queue Management and Appointments
Overview
We each spend on average 5.25 days per year just waiting in line.
That’s the equivalent of 114 million work years each year that humanity wastes on doing nothing productive.
Kiminoban uses machine learning to understand your business and then proposes ways to streamline operations. The longer you use it, the more fine-tuned its recommendations become.
What we did
- Frontend (Next.js)
- Custom CMS
- SEO
- Infrastructure
At Tachikoma AI we know that with an average of 5.25 days per person lost each year on waiting in line and in an environment where personal space, health & safety have become the new normal, respecting everybody’s time is crucial for business efficiency and having a great customer experience. In a post-pandemic world, people will continue coming back to spaces that make them feel safe and secure.
CEO of FamilyFund
- Locations
- 400+
- Waiting customers
- 10M
- Higher infra costs
- 15%
- Legal fees
- $1.2M