Case Study: Grabbit
An on-demand grocery shopping and delivery app aimed at building a self-sustained community.
The venture was incubated by two corporate executives. GrabbIT has tied-up with Norwich university to pilot this idea in the city. As a social cause, the social delivery platform extends help to people with difficulties.
The match algorithm was the most difficult puzzle in the solution. When a customer requests for shopping; the system has to match the Grabber taking into consideration proximity, ability to complete the job within a scheduled time, previous reviews, jobs already given that day and week. While direct customer to grabber matching was easy; the challenge was to keep a healthy pipeline of Grabbers and equally distributing work without compromising on the delivery quality.
The Grabbit iOS app acts as a virtual marketplace for people looking for things to be bought. A peer to peer solution, the app uses a matching algorithm to connect people with the closest, available shoppers, ensuring a faster delivery time. Users can easily switch roles as clients or shoppers.
The solution works on a commission model, with shoppers earning a percentage of each delivery undertaken. Extensive tracking and security mechanisms have been built to track the complete life-cycle of deliveries.
Shoppers can update and alert clients, in real-time, about the current stage of delivery, ensuring authenticity and transparency. Clients can maintain and use Grabbit wallets, easing the payment process.