Industry
Manufacturing
Challenge
Sales teams struggled with a complex product catalog and fragmented systems, leading to slow, inefficient product searches and delayed customer responses.
Results
The new sizing tool improved sales response times by up to 60%, reduced manual effort by 80%, and increased product matching accuracy by 60%.
Technologies That Powered the Transformation
ReactJS, NodeJS, Azure App Services, Postgres Database, Azure DevOps (CI/CD)
Overview
Our client is a Fortune 500 manufacturer operating in over 150 countries. They deliver a broad portfolio of engineering services, industrial automation equipment, climate control systems, and precision measurement instruments. With a vast and complex product catalog, the client’s sales and field service teams faced challenges in quickly identifying the right components—especially valves and steam traps—for customer needs. To address this, the client partnered with rSTAR to develop a powerful, user-friendly sizing tool solution that streamlines product discovery, enhances customer responsiveness, and improves operational efficiency. The resulting intelligent sizing tool cuts product search time in half and enabled the sales team to respond to customer requests 30-60% faster.Business Problem & Stakes
-
Large product inventory made it difficult to locate productsquickly which delayed customer responses.Navigating a Complex Product Catalog:
- Time-Intensive Search Process:
Teams had to consult multiple systems to find product specifications, which slowed response times. - Lack of Unified Access to Data:
Without a single intuitive interface, users struggled to filter, compare, or save product data.
rSTAR Solution
- Centralized Access via Web-Based Platform:
The sizing tool is integrated directly into the client’s website, offering a secure login and clean dashboard. - Smart Search, Filtering, and Data Sheet Automation:
Users can input parameters to instantly refine results and generate downloadable technical PDF data sheets. - Better Organization and Data Views:
Users can manage projects and data views with Excel-style filters and drag-and-drop sorting by project, tag ID, or date.
