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E-commerce Data Management

E-commerce Data Management

An e-commerce business uses reports from multiple platforms to inform its operations but has been storing data manually in various formats, which causes inefficiencies and inconsistencies. To optimize their analytical capabilities and drive decision-making, the client required an automated process for regular collection, processing, and consolidation of their data into a unified data warehouse. We streamlined the process of their critical metrics data into a centralized data repository. The final solution helps the client to quickly and accurately assess their business's performance, optimize their operations, and stay ahead of the competition in the dynamic e-commerce landscape.

450k

DB entries daily

10+

sources integrations
E-commerce Data Management case image preview

About the client

An e-commerce family-owned and operated business that provides exceptional, top-quality bedding products and accessories for the home at the most affordable prices.

Tech stack

Python icon
Python
BigQuery icon
BigQuery
GCP icon
GCP
AirFlow icon
AirFlow
RESTful icon
RESTful

The client's needs

The Client relies on a multitude of reports from various platforms and markets to inform its operations. These reports encompass a wide range of critical metrics, including:

  • FBA customer returns
  • Fee Preview
  • All Orders
  • Amazon Fulfilled Inventory Report
  • Active Listings Report
  • All Listings Report
  • Manage FBA Inventory
  • Business Report
  • Promotions
  • Monthly Storage Fees. 

Historically, these reports have been manually uploaded daily and stored in disparate formats and locations on the managers' Google Drive. This approach is prone to errors, resource intensive and created inefficiencies and data inconsistencies. 

The client required an automated and streamlined process for regular collection, processing, and consolidation of these reports into a unified database to optimize their analytical capabilities and drive decision-making.

Challenges & solutions

Challenge

Automation and unification of report collection from various e-commerce platforms and resources such as Amazon (US, MX, CA, EU), eBay, Walmart, Shopify, ClickUp, and Sellercloud. Handle currency conversion for reports from different markets (Amazon USA, Canada, Mexico).

Solution

Custom data integration pipelines were developed to perform regular reports collection. This eliminates the need for manual uploads, saving time, and reducing the possibility of errors. We connected to an online resource with currency exchange rates that the client previously used for manual rate conversion, updating the data in the database with the correct exchange rates at the time of transaction.

Challenge

Data processing and data storage. The client wants to ensure consistency and accuracy across all reports, which is difficult to achieve when the data is saved in different formats and locations. Additionally, they need a secure and reliable storage solution for their data that allows for easy querying and analysis.

Solution

We developed custom Python scripts with Airflow workflow management to process the collected data and extract relevant information, such as sales data, customer information, inventory status, and fees. We cleaned and standardized the data, ensuring consistency across all reports. We created a unified BigQuery database to store all the collected and processed data in a structured format. The database can be easily queried to extract information, and historical data can be easily accessed and analyzed.

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Challenge

Solution

Results

The client now has an automated and streamlined process for the regular collection, processing, and consolidation of their critical metrics data into a centralized database. This database also contains historical data from previous years that was stored by the client. This approach has enabled a comprehensive and unified view of the business's performance. 

With our solutions, the client can quickly and accurately assess their business's performance, optimize their operations, and stay ahead of the competition in a dynamic e-commerce landscape.

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We are extremely satisfied with the automated and streamlined process that DATAFOREST has provided for us.

Lesley D. photo

Lesley D.

Product Owner E-commerce business

Steps of providing
data scraping services

Consultation icon

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.
Analysis icon

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. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.
Solutions icon

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.
Data delivery icon

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, 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.
Support improvement icon

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.

How we provide data integration solutions

Consultation icon

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.
Analysis icon

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.
Solutions icon

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.
Data delivery icon

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.
Support improvement icon

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.

Steps of providing web applications services

Consultation icon

Step 1 of 7

Web development discovery

In the initial stage of the web-based development project, professional business analysts make detailed documentation of the project requirements and the approximate structure of the future web application. DATAFOREST is a custom web application development agency, guided by extensive experience in multiple industries. We give you detailed project documentation and then assemble the team according to your time and budget.
Analysis icon

Step 2 of 7

UX and UI design

Based on your wishes, the needs of your target audience, and the best web application design and development practices, our UX and UI experts create an aesthetically pleasing and user-friendly interface for your app to satisfy even the most demanding users.
Solutions icon

Step 3 of 7

Web-based application development

At DATAFOREST we are following the best programming design principles and approaches. Being a data engineering company, we build high load platforms, with a significant level of flexibility and result orientation. We keep our deadlines and follow SOC 2 compliance requirements.
Data delivery icon

Step 4 of 7

Integration

With DATAFOREST, integrating the application into your business won’t stop your processes for a minute. We provide seamless integration with your software infrastructure and ensure smooth operation in no time.
Quality assurance icon

Step 5 of 7

Quality assurance

We use a multi-level quality assurance system to avoid any unforeseen issues. Working with DATAFOREST, you can be confident that your web app development service solutions arrive to the market polished and in full compliance with all certification requirements.
Support improvement icon

Step 6 of 7

24/7 support

Once a product is released to the market, it’s crucial to keep it running smoothly. That’s why our experts provide several models of post-release support to ensure application uptime and stable workflows, increasing user satisfaction.
Web app improvement icon

Step 7 of 7

Web app continuous improvement

Every truly high-quality software product has to constantly evolve to keep up with the times. We understand this, and therefore we provide services for updating and refining our software, as well as introducing new features to meet the growing needs of your business and target audience.

The way we deal with your task and help achieve results

Consultation icon

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.
Analysis icon

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.
Solutions icon

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.
Data delivery icon

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.
Support improvement icon

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.

The way we deal with your issue and achieve result

Consultation icon

Free consultation

Step 1 of 5

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.
Analysis icon

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.  

Depending on project objectives, DevOps activity requires auditing the current approach, running metrics measurement, performing monitoring and checking logs. By having a set of interviews, we ensure that we understand the full scope of the project. Ultimately we make a project plan which we strictly follow. We are a result-oriented DevOps service provider company, and that is one of our core values as well.
Solutions icon

Step 3 of 5

Solution development

At this stage, our certified DevOps engineers refine the product backlog. We deliver great results within digital transformation, cost optimization, CI/CD setup, containerization, and, last but not least, monitoring and logging. We are a result focused company – it’s one of our core values.
Data delivery icon

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 expect client’s participation in the project. By the way, a high-level of communication is also our core value.
Support improvement icon

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.

Streamlined Data Analytics

We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.
1.5mln

DB entries

4+

integrated sources

Charlie White photo

Charlie White

Senior Software Developer Team Lead LaFleur Marketing, digital marketing agency
View case study
Streamlined Data Analytics case image preview
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Their communication was great, and their ability to work within our time zone was very much appreciated.

E-commerce 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 photo

Jonathan Lien

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

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.
5%

customer retention boost

25%

profit growth

Christopher Loss photo

Christopher Loss

CEO Dayrize Co, Restaurant chain
View case study
Client Identification preview
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The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

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. photo

Andrew M.

CEO Luxury Goods Retail
View case study
Store heatmap case image
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I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.

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