Queueing up at a restaurant without knowing how long it will take to be seated is a big factor in bringing down customer satisfaction. We want to solve this problem by informing the customers of their position in the queue when they come in, and the estimated time to be seated. They will also be informed once they are at the head of the queue (position 1), so that customers can make their way to the restaurant in time.
The position of the customer in the queue is updated through an admin dashboard.
Customers often come-in in groups, and the restaurant also has variable capacity tables to be filled. The solution should recommend through the admin dashboard the best candidate to be seated next even if their position in the queue is not 1. Queue has to be updated correctly and customer’s estimated time to be seated should be updated too.Policies should be implemented to ensure that a customer is not passed on more than a fixed number of times if they are at the head of the queue.
We conduct workshops for soft skills & personality development. Our workshops are designed around activity based learning and involves active participation from the trainees.
Currently the activities are conducted in-person by the instructor during the workshop. Our vision is to drive the activities in the workshop through software.
English Whispers is one of the most popular activities in the workshop. This activity helps in improving listening and paraphrasing skills. The video below explains activity: https://www.youtube.com/watch?v=U26ts0bRTzE
The solution developed should guild and aid the participants to play the game without a need for the instructor. Also each participant’s activity should be captured on the app.
We are in the business of delivering goods to customers in the last mile – from the distribution center to their physical address. The problems faced by our delivery managers include customers being unavailable due to various reasons:
They also face the problem of repeated deliveries at the same complex because the packages were not grouped together.
A solution to these problems is envisioned to be the following: Segment an address and determine if it is:
This way the business will accordingly have different strategy to deliver goods. For example: We will bulk for complexes, not deliver for commercial properties in weekends etc. You can use any open dataset for addresses, including openaddresses (https://openaddresses.io).