SENTIENT Case Study

Floral and gourmet foods gift retailer and distribution company increases revenues by 7% using a ChatBot

Customer

Global supplier of gourmet gift baskets

Industry

Food and Gifts

Function

Sales & Marketing

Problem

A global supplier of gourmet food and floral gifts wanted to use data to encourage existing customers to make additional purchases, as well as identify new customers for their products. 

Solution

A chatbot helps consumers search for and place their gift order online. The chatbot becomes smarter as “she” interacts with more customers over time; eventually the chatbot is able to use a customers past buying patterns to offer a customized shopping experience.   The chatbot uses a Natural Language Processing (NLP) model to interpret the customer’s questions about a product, and to then follow up with additional questions about the intended receiver of the gift, the occasion for which the gift is being purchased and the sentiment behind the gift. This data is then used by a recommendation algorithm to suggest more, well-suited gifts to the customer, and also target the receiver of the present gift as a future potential customer with corresponding product recommendations. 

Result

Total yearly revenues increased by 6.3% with more than 70% customers using the chabot to place orders through the company website.

More Use Cases

For the Retail Industry

Apparel

Apparel Retailer Optimizes Supply Chain with new AI-led Distribution Center

Food

Multinational Food Provider Dramatically Increases Sales

Customer Sentiment

NLP Saves Hundreds of Thousands in Customer Sentiment Analysis

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Contact

Call : +966 54 312 3734

Email : info@unitx.tech

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