Swiggy increases delivery executive engagement with on-time payouts. Learn how they utilize the platform to create a performance driven workspace.
Swiggy is the largest food ordering and delivery platform in India. They started their operations in 2014, at Bengaluru. Since then, they have snowballed to expand into a wide network of delivery partners across India. Over the years, Swiggy's delivery network and ordering technology has transformed food ordering and delivery landscape - making it extraordinarily accessible and reliable.
Industry:
Food and Beverages
Employees:
120000+
Location:
India
Use case:
Delivery team incentives
“Managing support for over 1.2 lakh users was vital and impacted adoption directly. Compass promised customer support despite this large volume”
“Compass has given us a platform to truly appreciate the hard work of our delivery partners who are the heart of our operations.”
Managing and onboarding a manpower of over 120000 delivery partners onto a platform comes with its unique set of challenges. Making sure the organizational values and strategic priorities trickle down to each of them and evaluating the efficiency of this was a herculean task. Before Compass, Swiggy was trying to manage this using dispersed and regional partner programs that were run by local management teams. Initiatives were rendered inefficient because the time taken to dissipate was ineffectively high. This tedious management of the reward programs also resulted in huge operating overheads.The other aspect to this challenge was that the delivery partners did not work out of offices but out of their delivery vehicles. They were dispersed across locations and geographies and this also limited control on their performances. This made it extremely difficult to unify and implement the initiatives and to track their activities
Our client wanted to leverage technology to create customized experiences by analyzing member data from multiple sources - including their CRM, biometrics, interests, platform usage, and other sources of data to discover user wellness activity. All the while, they wanted to ensure the highest levels of data privacy, security and compliance standards.
The requirements could be summarized as below: