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Store heatmap

The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.

9%

increase in sales

100%

dead zones removed
Store heatmap case image

About the client

One of the largest electronic retailers in Eastern Europe.

Tech stack

Python logo
Python
Flask logo
Flask
reCAPTCHA logo
reCAPTCHA
PostqreSQL logo
PostgreSQL
MySQL logo
MySQL
AWS logo
AWS

Challenges & solutions

Challenge

Measure the impact of promotional displays.

Improve customer service in busy areas.

Remove dead zones.

Effectively place products.

Solution

Built a system based on Machine Learning, image detection and face recognition.

All cameras work in a centralized form and pass data to a single server that processes the information received.

Solution analyzes the movement of visitors around the store, keeps track of shelves that are viewed most often and products which clients skip.

Solution optimizes the process of selling goods, since the information received makes it possible to concentrate on selling goods in which the visitor is most interested, and to identify not popular ones.

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DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.

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Jared D.

CEO Consumer Electronics Retail

The way we deal with your task and help achieve results

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Step 1 of 5

Free consultation

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 try to help to understand if we are a perfect match for you.
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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 with a full pack of tech docs.  

In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.
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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 the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.
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Step 4 of 5

Solution delivery

Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect 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.
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Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 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.

Ecommerce scraping

The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
1000h+

manual work reduced

60 mln

pages processed daily

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Jonathan Lien

CEO Advanced Clear Path, Inc., Ecommerce Company
View case study
Ecommerce scraping case image
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They always find cutting-edge solutions, and they help bring our ideas to life.

Operating Supplement

We developed an ETL solution for a manufacturing company that combined all required data sources and made it possible to analyze information and identify bottlenecks of the process.
30+

supplier integrations

43%

cost reduction

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David Schwarz

Product Owner Biomat, Manufacturing Company
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Operating Supplement case image
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DATAFOREST has the best data engineering expertise we have seen on the market in recent years.

Supply chain dashboard

The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
900h+

manual work reduced

100+

system integrations

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Michelle Nguyen

Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company
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Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.

Infrastructure Audit & Intelligent Notifications

An eCommerce company had issues with managing its complex IT infrastructure across multiple cloud providers. We helped to analyze the current architecture and develop a strategy for unification, scaling, monitoring, and notifications. As a result, we implemented a single cloud provider, CI/CD process, server unification, security and vulnerability mitigation actions, and improved reaction speed and reliability by 200%.
200%

performance boost

24/7

monitoring

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Dean Schapiro

Co-Founder, CTO Ecom Innovators, eCommerce company
View case study
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Not only are they experts in their domains, but they are also provide perfect outcomes.

We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

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DataForest, Head of Sales Department
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DataForest company founder
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