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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.

Manufactoring

System integrations

Data Insights & Forecasting

Data Science

Manufactoring

System integrations

Data Insights & Forecasting

Data Science

30+

supplier integrations

43%

cost reduction

About the client

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

Tech stack

Python

Pandas

Pyspark

TensorFlow

PostgreSQL

Hadoop

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).

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.

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.

Automatize cashback website tracking, adding an option to identify orders with no/incorrect cashback to avoid missed orders.

Create daily reports with detailed statistics.

Automatize updates and new listings at the selling platform.

Solution

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

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

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

Built a “lean” warehouse operation algorithm.

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

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 system 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.

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

Jonathan Lien

CEO Advanced Clear Path, Inc., Ecommerce Company

View case study

They always find cutting-edge solutions, and they help bring our ideas to life.

Data Insights & Forecasting

Data Science

Retail

Business process automation

Demand forecasting

We built a sales forecasting system and optimized the volume of goods in the warehouse and the range of goods in different locations, considering each outlet's specifics. We set up a system that has processed more than 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.

Retail

Supply-chain automation

Web applications

System integrations

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

Michelle Nguyen

Senior Supply Chain Transformation Manager Unilever, World’s Largest Consumer Goods Company

View case study

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