At Xango, we wish to simplify the process of food ordering in-restaurants by providing value to users as well as restaurants.

The shortage of adequate skilled manpower is among the major issues hampering the Service Quality & Growth of the Food & Beverage (F&B) service industry in India. Xango aims to alleviate their reliance and high training costs of skilled man-power (waiters & captains) while increasing labor productivity in service functions.

Xango is an Augmented Reality based Mobile App which would be driven by a Food Suggestion Algorithm to help users choose the right dish in-restaurants. The algorithm tries to mimic chef's knowledge and recommendation style. This means diners can discover the right food as per their personal preferences and restaurant preparation, hence reducing dependency on the captain. The unique AR overlay visually entices the diner while empowering him/her to match expectations with offerings. This, through our survey of over 100 diners revealed a 27% ...
At Xango, we wish to simplify the process of food ordering in-restaurants by providing value to users as well as restaurants.

The shortage of adequate skilled manpower is among the major issues hampering the Service Quality & Growth of the Food & Beverage (F&B) service industry in India. Xango aims to alleviate their reliance and high training costs of skilled man-power (waiters & captains) while increasing labor productivity in service functions.

Xango is an Augmented Reality based Mobile App which would be driven by a Food Suggestion Algorithm to help users choose the right dish in-restaurants. The algorithm tries to mimic chef's knowledge and recommendation style. This means diners can discover the right food as per their personal preferences and restaurant preparation, hence reducing dependency on the captain. The unique AR overlay visually entices the diner while empowering him/her to match expectations with offerings. This, through our survey of over 100 diners revealed a 27% drop in chances of dis-satisfaction & a 42% increase in likelihood of ordering.
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