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Restaurants & Hospitality

We partnered with one of the biggest food
chains in India to deploy a data-driven system
to introduce value-based offerings

We made a visible and measurable impact to our client's business

22%

Increase in revenue

35

Piloted Recommendations across 35 multi-format stores

5%

Increase in customer footfall

Challenge

Industry Overview

Combos are a great way to boost upsell and cross-sell opportunities for restaurants. While combos might seem like an easy route to cash in on increasing consumer wallet sizes, the lack of balanced and systematically identified combos could drive customers across the aisle.

The problem

Our client, one of the biggest QSR chains in India wanted to introduce combos to its current offerings. However, with more than 35+ outlets, identifying the right set of combos across various channels such as dine-in, takeaway, and online-delivery was a major challenge.

Our role

The client wanted to utilise our data science capabilities to strategically craft combos that could increase traction for the combo line-up while also ensuring profitability.

Our approach

Methodology

We worked closely with the store managers to map out customer preferences and buying patterns. Our advanced Machine learning algorithms helped identify combos that could drive value for the customer, and at the same time ensure profitability for the brand. Customised metrics were designed to zero in on these combos line-ups. We designed the right offering which also accounted for the channel of operation, number of items to be bundled and number of pax. per ticket.

Our recommendations were incorporated across all 30+ stores in India.

How did we enable consumption?

We designed multiple value-based combo variants and promotional offers to test customer adoption across various operating channels. Best received offerings were scaled pan-India as permanent menu combos.

A valuable difference

Our impact

Our ML algorithms delivered a 22% increase in revenue through direct cross-sell gains, thus increasing average ticket size. Test stores also saw an increase in customer footfall by 5%. .

Success stories

See the impact that we make on our
cross-industry client base.

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