Improve menu, cut delivery time, predict demand, and get more loyal customers with data.

In the age of UberEats, Muchery, Amazon Restaurants, Favor, and other food delivery services — how can you stay top of mind and competitive?

The key to unlocking the success for the next generation of food delivery service is data.

A world of opportunities and possibilities opens up when you gather, analyze, and implement customer data:

Improve Menu

Leverage data on customer orders, reviews, social media posts, etc. to gather feedback on menu items so you can refine ingredients and flavors to suit your customers’ tastes.

Generate more sales by offering promotions on popular items while eliminating those that aren’t ordered often to boost sales and increase operational efficiency.

big data analytics

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Reduce Delivery Time

You’ll lose customers if you make them wait too long for their orders, which arrive cold and soggy because they’ve been in transit for too long.

Use data such as food preparation time, delivery location, GPS, and real-time traffic updates to help dispatch drivers, find the most efficient route, and reduce average wait time.

In addition, leverage big data and predictive analytics to estimate how many drivers you’ll need on a particular day to make sure you have the right amount of manpower to handle the deliveries.

Customize Recommendations

Offer personalized recommendations based on a customer’s habits and preferences using data from his or her profile.

You can also compare a customer’s habit and preferences with data from other users to suggest menu items that they may also like.

Make it easy for customers to reorder their favorite dishes and offer ideas that are timely and seasonal.

Predict Demand

Analyze browsing history and customer orders to predict demand, such as volume and popular menu items at specific day and time.

Use predictive analytics to estimate how many customers will order a particular dish, when and from where.

You’ll be able to better forecast customer demand, manage inventory levels, and cut delivery time to increase customer satisfaction.

big data analytics

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