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ElectroNeek > Case Studies > Automated Delisting Workflow Supports E-commerce Business Growth
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Automated Delisting Workflow Supports E-commerce Business Growth

Technology Category
  • Analytics & Modeling - Robotic Process Automation (RPA)
  • Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
  • E-Commerce
Applicable Functions
  • Sales & Marketing
  • Warehouse & Inventory Management
Use Cases
  • Inventory Management
  • Leasing Finance Automation
The Challenge
An e-commerce company selling second-hand clothing on multiple online platforms was struggling with its delisting products process. When an item sells, team members have to remove the item from all the other online platforms manually to avoid overselling the item. The company’s employees spent two hours removing these listings daily. This cumbersome workflow resulted in errors and took about 14 hours per week. The company was spending a lot of time manually delisting products to ensure 100% customer satisfaction. This was a significant challenge for the company as it was hindering their growth and productivity.
About The Customer
The customer is an e-commerce company that sells second-hand clothing on multiple online platforms. The company was struggling with the manual process of delisting products across these platforms once an item sells. This process was time-consuming and prone to errors, taking up to 14 hours per week. The company sought to automate this process to improve efficiency, reduce errors, and free up time for more valuable tasks that could enhance the customer experience and support business growth.
The Solution
Thrive Automation, an IT Service Provider offering Robotic Process Automation solutions, partnered with the e-commerce company to automate the delisting process. They leveraged the ElectroNeek RPA platform to automate and streamline the process. Thrive Automation set up email triggers, and automated web-based activities in Chrome. Tasks that involved interactions with platforms such as Shopify, were also transformed into automated workflows handled by ElectroNeek bots. This automation process saved the company 14 person-hours per week, allowing the e-commerce company to focus on more valuable tasks to improve the customer experience.
Operational Impact
  • The automation of the delisting process resulted in improved productivity and reduced cost of doing business for the e-commerce company. The company was able to focus on more valuable tasks to improve the customer experience, rather than spending time on repetitive tasks. This also led to increased employee morale as they could focus on more meaningful work. The improved operational efficiency enabled the company to drive growth and scale its operations.
Quantitative Benefit
  • Saved 14 person-hours per week
  • Reduced time spent on delisting products from 2 hours daily to virtually zero
  • Eliminated errors associated with manual delisting

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