Restaurants and Food Services Data Analytics
Analyzing and implementing big data-powered strategies is the standard for modern restaurants. Whether you are a dine-in, takeaway, or delivery-focused service organization, our rock-solid machine learning predictive algorithms will help you seize every opportunity to grow efficiency and effectiveness
Express Analytics’ Approach
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The challenge
Issues and Challenges in the Restaurant and Foods Industry
Restaurants and food industries struggle to identify who their customers are and what they expect, even after having various data, including social feedback, loyalty, transaction, chat, and CSAT scores.
The greatest challenge that the majority of Restaurants face today is getting insight into a customer’s behavior.
They have all kinds of data to derive the profile of customers and cater to their likings, but due to the lack of Analytics, they fail to do so.
All their valuable data is sitting idle in their databases and is not exactly being used for anything.
The challenge
Issues and Challenges in the Restaurant and Foods Industry
Restaurants and food industries struggle to identify who their customers are and what they expect, even after having various data, including social feedback, loyalty, transaction, chat, and CSAT scores.
The greatest challenge that the majority of Restaurants face today is getting insight into a customer’s behavior.
They have all kinds of data to derive the profile of customers and cater to their likings, but due to the lack of Analytics, they fail to do so.
All their valuable data is sitting idle in their databases and is not exactly being used for anything.
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Why it is Important?
The Importance of Data Analytics for Restaurant & Foodservice Industries
By analyzing data on customer behavior, operations, and pricing, restaurants can make better decisions that lead to increased revenue and profitability.
Do you know that:
- Restaurants that use Data Analytics have a higher survival rate.
- Data analytics can boost revenue, help cut costs, hence result in increased profits.
- Insights derived from the data can be used to enhance their social media.
If you’re a restaurant owner, data analytics is essential for success. By using data to make better business decisions, you can improve your customer experience, optimize your operations, and make more money.
Why it is Important?
The Importance of Data Analytics for Restaurant & Foodservice Industries
By analyzing data on customer behavior, operations, and pricing, restaurants can make better decisions that lead to increased revenue and profitability.
Do you know that:
- Restaurants that use Data Analytics have a higher survival rate.
- Data analytics can boost revenue, help cut costs, hence result in increased profits.
- Insights derived from the data can be used to enhance their social media.
If you’re a restaurant owner, data analytics is essential for success. By using data to make better business decisions, you can improve your customer experience, optimize your operations, and make more money.
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The Solution
Our restaurant and food services aggregate various data sources and incorporate AI, NLP, ML, and data visualization to yield measurable results.
- We at Express Analytics gather, inspect, and respond to user satisfaction feedback quickly using sentiment analysis solutions.
- Our analytics solutions can minimize customer churn, forecast the future behavior of customers, and enhance loyalty.
- Our persona-oriented dashboards are easily understandable by both marketers and operational teams to discover strengths and regions of opportunity.
- We monitor, evaluate, and visualize major metrics for the performance of 3rd party food delivery with our services.
Express Analytics’ data analytics for restaurants and food services can offer a comprehensive view of customers’ interests and behaviors to the restaurant and food industries to deliver customized experiences.
The Solution
Our restaurant and food services aggregate various data sources and incorporate AI, NLP, ML, and data visualization to yield measurable results.
- We at Express Analytics gather, inspect, and respond to user satisfaction feedback quickly using sentiment analysis solutions.
- Our analytics solutions can minimize customer churn, forecast the future behavior of customers, and enhance loyalty.
- Our persona-oriented dashboards are easily understandable by both marketers and operational teams to discover strengths and regions of opportunity.
- We monitor, evaluate, and visualize major metrics for the performance of 3rd party food delivery with our services.
Express Analytics’ data analytics for restaurants and food services can offer a comprehensive view of customers’ interests and behaviors to the restaurant and food industries to deliver customized experiences.
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Next transaction model, churn models, and campaign response models
Next transaction model, churn models, and campaign response models
To improve sales and drive retention through targeted campaigns.
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Increased average order value (AOV)
Increased average order value (AOV)
Using cross-sell and collaborative filtering (CF) models to optimize customer value
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NLP powered promotion optimization
NLP powered promotion optimization
Using metadata and machine learning techniques such as uplift models to identify the optimal promotion for each customer
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Voice of Customer Analytics (VOCA)
Voice of Customer Analytics (VOCA)
NLP techniques such as topic modeling and sentiment analysis are used to derive insights from structured and unstructured channels of customer feedback, including social media.
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Performance measurement tracking, reporting and dashboards
Performance measurement tracking, reporting and dashboards
For quick views and continuous improvement
