Operating Supplement Mastery with Data Engineering

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.

Business process automation

Data Engineering

Data Insights & Forecasting

Business process automation

Data Engineering

Data Insights & Forecasting

supplier integrations

cost reduction

About the client

Foreign manufacturing company. Raw materials are supplied from 37 suppliers.

Tech stack

TensorFlow

The client's needs

Challenges & solutions

Challenge

Keep infrastructure charges below $1000 per month. Automatize daily price relevance and stock availability monitoring for more than 100k products through the entire network(approximately 18 mln requests per day).

Solution

Developed a solution which combined all data sources and made it possible to analyze information and identify bottlenecks of the process.

Challenge

Reduce the amount of manual work and operational errors during updates and new products listings. Add cross-checks of the same products listed on Amazon, Walmart, Lowe’s, etc.

Solution

Carried out a smooth integration with the systems of suppliers, retailers, logistics companies and owned transport.

Challenge

Create a system for monitoring all products available looking for ones with the biggest price variations. Create a notification system that automatically notifies the admin about order problems, changes, delays and controls orders statuses and shipments.

Solution

Built predictive sales models taking into account seasonality and consumer preferences.

Challenge

Automatize cashback website tracking, adding an option to identify orders with no/incorrect cashback to avoid missed orders. Create daily reports with detailed statistics.

Solution

Built a “lean” warehouse operation algorithm.

Challenge

Automatize updates and new listings at the selling platform.

Solution

Implemented a tool for balancing orders between suppliers to maximize profits and minimize risks per counterparty.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Luxury Retailer AI Demand Forecasting Implementation

Results

DATAFOREST has the best data engineering expertise we have seen on the market in recent years.

David Schwarz

Product Owner Biomat, Manufacturing Company

How we provide data integration solutions

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.

At this stage, we need to ensure that we understand the full scope of the project. We receive from you or perform a set of interviews and prepare the following documents: integration pipeline (which data we should get and where to upload), process logic (how system should work); use cases and acceptance criteria; solution architecture. Ultimately we make a project plan which we strictly follow.

Step 3 of 5

Solution development

At this stage, we build ETL pipelines and necessary APIs to automate the process. We attract our DevOps team to build the most efficient and scalable solution. Ending up with unit tests and quality assurance tests to ensure that the solution is working properly. Focus on Results is one of our core values as well.

Step 4 of 5

Solution delivery

After quality assurance tests are completed, we deliver solutions to the client. Though we have over 15 years of expertise in data engineering, we are expecting client’s participation in the project. While developing the integration system, 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

Back Office Automation

The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.

32%

FTE costs reduction

19%

revenue growth

Aleksandr Kharin

CEO Biolevox, Medical Product Distributor

View case study

They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.

AI Forecasting That Saved $142M for Global Retailer

Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.

88%

forecasting accuracy

0.9%

out-of-stock reduced

Andrew M.

CEO Luxury Goods Retail

View case study

I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.

Stock relocation solution

The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.

10%

productivity boost

increase in sales

Mark S.

Partner Pharmacy network

View case study

The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.

Employee Tracker

The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.

100h+

manual work reduced

13%

Bernd Herzmann

CTO Retail company

View case study

DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.