E-commerce Data: Seamless Management Solutions

E-commerce Data Management case image preview

Optimise e-commerce with modern data management solutions

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.

E-commerce

Data Engineering

Business process automation

E-commerce

Data Engineering

Business process automation

450

DB entries daily

sources integrations

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

BigQuery

GCP

AirFlow

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

Luxury Retailer AI Demand Forecasting Implementation

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.

Product Owner E-commerce business

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

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.

1.5 mln

DB entries

integrated sources

Charlie White

Senior Software Developer Team Lead LaFleur Marketing, digital marketing agency

View case study

Streamlined Data Analytics case image preview

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

CEO Advanced Clear Path, Inc., E-commerce Company

View case study

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.

customer retention boost

25%

profit growth

Christopher Loss

CEO Dayrize Co, Restaurant chain

View case study

The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

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%