CASE STUDY

Digitizing Culinary Heritage: Transforming Handwritten Reviews with NLP

Industry

Restaurant

Work Done

AI ML Consulting, Data Analytics, Business Intelligence,

Introduction

In the heart of Paris, a leading restaurant that has been operating for decades faced a challenge. The reviews by customers were hand-written about their experience at the eatery. Thus, there was a need to make those reviews be seen widely to the large number of people in the current digital age. Also, there was a need to understand the sentiments of the customers clearly.

Armed with cutting-edge Natural Language Processing (NLP) technology, GrowExx started on a transforming journey to understand sentiment in different languages and to present a total analysis of sentiment.

Natural language processing (NLP) is a type of artificial intelligence in which computers can understand, produce, and manipulate human language. NLP drives a wide variety of applications, like language translation, sentiment analysis, and chatbots, and leads to massive changes in the way humans communicate with computers.

Client Background

The client is a famous restaurant that has been in the heart of Paris for several years, and they had a lot of handwritten reviews from customers. Transforming the traditional legacy into the modern digital transformation was regarded as a challenge as well as an opportunity.

Challenges Faced

The restaurant encountered two primary challenges:

One issue that the restaurant was facing was with the handwritten reviews because in today’s digital world hand-written reviews don’t work much because they are not scalable at all. While digital texts are easy to read, handwritten text requires laborious transcribing, and are also error prone. Moreover, the issue with the handwritten reviews is that it becomes sometime tough to keep the track of the handwritten reviews, but when it comes to digital records; they are much easy to manage. This poses a very serious challenge when it comes to identifying and extracting meaningful information for routine purposes such as sentiment analysis.
The restaurant had customers from various backgrounds and the reviews were written in all different languages. Thus, there is a need for a solution that could understand the reviews and sentiments of the people in whichever language they are.

How Clients Came to Know About GrowExx

Looking at the challenges, the client was doing online research for a reputed company having the right capabilities & track record for designing a platform that could preserve the essence of their culinary space. GrowExx emerged as the top choice for this, and also the below-mentioned reasons helped GrowExx to become their preferred choice:

Expertise in NLP Technology: The client’s decision to work with GrowExx, which is a leading NLP technology with long-standing expertise in the natural language solutions space, should have been an integral factor in their choice to partner with the company.
Multilingual Sentiment Analysis: As their customers were from different backgrounds, the client required a system that could understand sentiments in different languages. The multilingual sentiment analysis capability of the GrowExx would have been a critical factor in their decision.
Reputation and Recommendations: More likely people chose our company after witnessing our previous successful implementation experiences and having received so many positive reviews from other clients. Hearing from other businesses or industry peers about GrowExx’s past successes would have assured them of their ability to get the desired results.
Customized Solutions: GrowExx’s tendency to jump on board in a collaborative discussion to know the company inside out, challenges, and goals including the desired outcomes shows its dedication to providing individualized solutions designed in accordance with the client’s unique needs.

Why the Client Approached Us

The client hired GrowExx to apply their intelligent NLP technology and language expertise in analyzing sentiment analysis in various languages. They set the goals to preserve their culture and at the same time to exceed customers’ expectations.

Discovery Meeting with GrowExx

Coming up with a joint vision, the client and GrowExx conducted a discovery meeting to pinpoint the challenges as well as desired results.

Involvement of GrowExx

GrowExx did a comprehensive needs assessment and found that there was significant linguistic diversity and sentiment nuances that were present in the handwritten reviews. By utilizing their NLP knowledge, GrowExx implemented a multi-language sentiment call system for the categorization of feedback into “Good,” “Average,” and “Bad.”. Thorough training was given to the restaurant staff to equip them to incorporate the NLP-driven system with their digital platform without any difficulty.

Results

Here are the results of this collaboration:

Universal Sentiment Understanding: The multilingual NLP-driven sentiment analysis software shows impressive capability to derive sentiments from reviews in different languages, thus creating a common outlook.
Categorized Reviews: Coding the data into a proper categorization system helped to come up with a sentiment table in percentage, which gives an opportunity to assess what kind of emotions the customers use when expressing their thoughts.
Preservation of Culinary Heritage Years of manual written reviews were replaced with the electronic form of recording, safeguarding the vivid culinary history of the restaurant.
Quantifiable Impact: Through a comprehensive analysis of diverse metrics, it was found that the restaurant’s online presence has risen by 40% which is quite a significant improvement. These included following website traffic trends with the help of tools such as Google Analytics, and watching how people engage on social media across various platforms.
Customer satisfaction scores recovered 25% by application of different measures. Among these activities were customer surveys to gather feedback from clients, performing sentiment analysis using NLP methods, and finally calculating customers’ loyalty and satisfaction indices using the Net Promoter Score (NPS) metric.

Technologies used

Conclusion

This case study highlights the successful collaboration between the historic restaurant of Paris and GrowExx in leveraging NLP technology to enhance culinary legacy. Through innovation, the restaurant has not only carved a niche for itself in the dynamic taste landscape but has also shown how powerful NLP can be in improving customer satisfaction and creating a lasting digital heritage.