AI-Powered Client Identification: Compliance and Security

Client Identification

The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.

Data Science

Sales automation

Data Insights & Forecasting

Data Science

Sales automation

Data Insights & Forecasting

customer retention boost

profit growth

About the client

A private luxury country club and restaurant USA chain with extremely high standards of customer service.

Tech stack

Python

ReactJS

DRF

Pandas

AWS

The client's needs

Challenges & solutions

Challenge

To find the best way to collect all info about customer’s preferences to provide the highest quality service and build the optimal tracking system for customer behavior.

Solution

We’ve built recommendations and the customer behaviour tracking systems utilizing advanced analytics, Face Recognition, Computer Vision and AI technologies.

The system tracks:
- clients’ lifestyles, hobbies, marital status, number of kids, and their age;
- clients' activities at the club;
- customer behavior;
- favorite food items, tables, restaurants, time periods, etc.
- areas of the club where clients prefer to spend time together.

The system enables the administrator/waiter to offer the clients their constant preferences, as well as predict their wants and needs (eg. knowing in advance that the client wants to order fish after playing golf, the waiter offers the preferred white wine at a special price).

The solution is built using Computer Vision, a distribution and recommendation system that allowed club staff to build customer loyalty, as well as create a top customer experience.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

Client Identification first slider image

Client Identification second slider image

Client Identification third slider image

Client Identification fourth slider image

The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Christopher Loss

CEO Dayrize Co, Restaurant chain

The Way We Deal with Your Task and Help Achieve Results

Step 1 of 5

Web development discovery

It's a good time to get info about each other, share values, and discuss your project in detail. We will advise you on a solution and help you understand if we are a perfect match for you.

Step 2 of 5

Discovering And Feasibility Analysis

One of our core values is flexibility. Hence, we work with either one-page high-level requirements or a whole pack of tech docs. In AI demand forecasting case studies, there are numerous models and approaches, so at this stage, we perform a set of interviews to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create a solution architecture, a project plan, and a list of insights or features to achieve.

Step 3 of 5

Solution Development

The work starts with data gathering, data cleaning, and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for further development. Ultimately, we interpret the results. Nevertheless, demand forecasting solution modeling is a process requiring many back-and-forth iterations. We are result-focused, as it's also one of our core values.

Step 4 of 5

Solution Delivery

AI demand forecasting solutions can be a list of insights or models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect the client's participation in the project. While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high level of communication is also our core value.

Step 5 of 5

Support And Continuous Improvement

We understand how crucial the solutions that we code for our clients are! We aim to build long-term relations, providing guarantees and supporting agreements. Moreover, we are always happy to assist with further developments, and statistics show that 97% of our clients return to us with new projects.

Success stories

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

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pages processed daily

43 sec

updates checking

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These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

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We created a solution that helped optimize the customer base to get the most out of the customer data. This solution notifies the client about the services/goods, which they would likely buy, according to the gathered information.

20%

sales growth

200%

traffic boost

Jeremy Groves

CEO ThinkDigital, Digital and Marketing Agency

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They developed solutions that brought value to our business.

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products monitored

Josef Ganim

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DevOps Experience

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2k+

QPS performance

70%