Swiggy has secured a 700 million dollar investment in their South Asian food delivery company.

The problem
Having a food delivery network requires several technologies for fast, efficient service. Swiggy is based in 500 Indian cities delivering local restaurant food to your door via its 200,000 fleets of drives. To be effective, the technology platform must process over 40 billion messages daily. The data comes from orders, processing orders, and customer and restaurant interactions. All the data needs to be processed quickly and accurately, with decisions made in real-time. AI to the rescue.

The solution
Swiggy invested heavily in an effective AI-ready technology stack. They focussed on building a platform that could expand with their customer expansion. They decided to have an ‘AI-first’ platform to allow the scale in growth quickly. They also invested heavily in a good AI team, attracting skilled staff with PhD backgrounds from universities and blue-chip companies like IBM. They have focussed on democratising AI, so anyone in the organisation can build AI models focusing on real-time decisions and optimisation. They are also looking at using machine vision/AI to monitor correct foods and reduce errors.

The results
With the right technology, they can process data more quickly and accurately. The AI is helping them anticipate demand for food and profile sales and customers in more detail. They have also been able to better estimate time by looking at food production times and delivery information. This has allowed them to expand from a few cities to over 500 in India. As a result, they have secured another investment for $700.

The future
By having a good tech stack, they will be able to experiment with other ML/AI models to help increase sales and reduce costs. I see them licencing the technology to other countries. They could use this technology for other sectors too.

More information
Swiggy website
Interview with Dale Vaz, swiggy technical head

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