Client:
The client is one of the largest hotel chains in India, with 25+ properties.
Business Challenge:
For the hotel chain to:
- Identify and validate Resident VS. Non-Resident guests, guest sentiments, needs, tastes, and preferences by loyalty segments, guest personas, restaurant usage by in-house guests
- Understand revenue per cover, per table, and other standard metrics
- Popularity of menu by season, time(week/weekday), location
- Opportunities lost due to not addressing guest needs in time or context
Benefits Achieved:
With the recommendation system, the recommender was able to suggest items that would sell in place of another item to gain at least 8% higher revenues while not compromising on the price parity of the customer. Guest Segmentation enabled the restaurant to profile the incoming customers based accurately on historical data and suggest more popular and trending items.