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Performance Measurement

The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.

Retail

17%

increase in sales

15%

revenue boost

About the client

US fashion retailer that sells luxury brands and its own private labels.

Tech stack

Python

ReactJS

Django REST Framework

Pandas

PostgreSQL

AWS

Challenges & solutions

Challenge

Sales operating control.

Employees’ KPIs control at the atomic level.

The solution should track KPIs and the average time of customers at the cash-desk that needs to be relevant to the number of items in a cheque.

Solution

Each store was supplied with additional software, integrated with the cash-registers.

The software from each store aggregates information to a centralized server, and promptly tracks deviations.

The algorithms notify employees if KPIs performance is off target for a couple of days and provide recommendations on what can be improved through work.

The system tracks daily how well the employees offer clients additional items, providing analysis, that allows the company not to lose profit every day.

Performance Measurement first slider image

They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.

Amir R.

CEO Fashion Retailer

The way we deal with your task and help achieve results

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.

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.

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.

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.

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.

All Success Stories

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14.8 mln

pages processed daily

43 sec

updates checking

Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation

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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.

Data-driven marketing

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

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They developed solutions that brought value to our business.

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100k+

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Josef G.

CEO, Founder Software Development Agency

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If we experience any problems, they come back to us with good recommendations on how the project can be improved.

DevOps Experience

The ML startup faced high costs during its growth for a data-driven platform infrastructure that processes around 30 TB per month and stores raw data for 12 months on AWS. We reduced the monthly cost from $75,000 to $22,000 and achieved 30% performance over SLA.

2k+

QPS performance

70%

cost reduction