Netsmartz’s engagement with an eCommerce firm was to develop a data transformation engine to increase its profitability through deep data analytics.
About The Company
This eCommerce firm is based out of Austin, Texas. The client collaborated with several vendors to craft a portfolio of products to sell on Amazon.
The Tech Stack
The engagement with Netsmartz was rolling resources based – on-need resources allocated per the project’s needs, requirements, and stage of progress. A project coordinator was the constant SPOC for this engagement.
Essentially, the client was importing products and selling them on Amazon. But to assess the viability of those vendor partnerships, shipments, and products, the client wanted a data-backed solution.
One that could assess & report on the efficacy of purchases that the client made. That is, address the question of total profitability on every range and SKU of product that they ordered.
That meant analysis of the campaign, products, sales, offers, purchases, etc. The client wanted us to make a data engine replete with functionality.
Netsmartz followed the following process to fulfill the requirements of the client:
Mapping & Vetting Developers
The preliminary task was to identify skilled resources to work on the project. Since the project was based on a rolling resource engagement, the resources were allocated as and when needed, significantly reducing the investment required by the client.
After the resource selection, the developer candidates were introduced to the client for further vetting and interviews. This process also included getting the developers acquainted with the client, their requirements, procedures, and methodologies.
The project coordinator assessed the client’s requirements and understood their tech stack and engineering requirements.
As per the rolling resources engagement, the team was scaled and churned on-demand as and when the progression required.
The primary achievements of this project were:
- Netsmartz enabled clients to leverage their data to power their revenue through better sales, marketing, and customer service support.
- It further resulted in better profitability for the client since now, they could get a perspective on increasing their profits, sign on new products/vendors, and drive through ambiguity.
- They were able to lower costs by eliminating non-performing products and further increase the production/purchase of more demanded products in the market.