Case Study
Automotive
76%
Reduction in Manual Effort
1.1 mn $
Annual savings by Automation
Overview
One of the leading automotive giants in North America, faced a significant challenge within its spare parts division—the enormous time and cost involved in manually creating parts catalog content. With an annual expenditure of $2.1 million and a time-consuming process prone to human errors, it was clear that they needed a smarter solution. That's when they turned to Wizr Labs, to transform this process using Gen AI, and the transformation was nothing short of remarkable.
The Challenge: Manual Cataloging Was Holding Them Back
A prominent career concierge for healthcare practitioners struggled to keep pace with the growing demand for its services due to inefficiencies in manual processes. The need to automate timesheet entries and document verification became critical to improving operations and enhancing practitioner satisfaction. Wizr Labs stepped in with its Gen AI expertise, delivering a comprehensive solution that redefined efficiency, compliance, and satisfaction.
The Challenge: Manual Processes Were a Bottleneck
For years, Client had been manually handling the creation of their parts catalogs, a process that was not only expensive but also slow and error-prone. Some of the major challenges they faced included:
High Costs
The manual cataloging process required extensive manpower, leading to an unsustainable annual expenditure of $2.1 million. The process also incurred hidden costs related to rework and quality control due to recurring human errors.
Time-Consuming Workflow
he process of collecting, verifying, and compiling catalog content was tedious and slowed down operations significantly. Each part required thorough documentation, cross-verification, and review cycles, further adding to the lead time.
Data Overload
Managing a vast amount of parts data, images, and documentation manually made it challenging to maintain accuracy and consistency. As the product line expanded, the increasing complexity of cataloging became overwhelming, making it difficult to track and update information effectively.
Human Errors
Despite the meticulous efforts of the team, manual entry left room for inconsistencies and mistakes. Errors such as incorrect part numbers, misplaced images, and formatting issues often led to costly delays and customer dissatisfaction.
Scalability Concerns
With increasing product variations and demand, the manual process struggled to keep up, hindering client’s ability to scale operations efficiently. The inability to scale resulted in bottlenecks, limiting the company's capacity to introduce new products and updates in a timely manner.
Compliance and Standardization Issues
Ensuring regulatory compliance and maintaining standardization across multiple catalogs was a daunting task. Manual processes lacked the robustness needed to meet evolving industry standards and customer expectations.
Inefficient Collaboration
The cataloging process required input from multiple departments, including engineering, marketing, and sales. Coordinating across teams using traditional manual methods often resulted in miscommunication, delays, and version control issues.
The need for automation became clear—Client needed a way to reduce costs, improve efficiency, and maintain accuracy without compromising quality.
"By automating the spare parts cataloging process, we reduced operational costs by 63%, cut down catalog creation time, and eliminated human errors—leading to faster, more accurate, and scalable operations for our team."
Wizr Labs and Wizr AI: Smarter, Faster, and More Accurate
Wzir Labs used Wizr AI Studio, a no-code platform for building Enterprise AI applications powered by Generative AI and Large Language Models (LLMs), for piloting the solution. Once the pilot was successful, Wizr Labs built the entire solution for the Client using cutting edge technologies.
The AI-driven solution provided the following key features:
Automated Document Intelligence
Wizr AI Studio extracted critical information from existing documents, reducing the manual workload and accelerating the catalog creation process.
It streamlined the flow of data, ensuring consistency and reducing the risk of errors.
Auto Summary Generation
This feature helped in summarizing vast amounts of catalog data, cutting down manual effort by 80%.
It provided clear, concise summaries that improved the usability and readability of the catalogs.
Knowledge Assistant
Using knowledge graphs, the AI system could generate new catalogs with minimal human intervention.
It enabled seamless updates and integration with existing workflows, making the entire process more scalable and efficient.
The Results: A Game-Changer
The impact of implementing the AI Solution was profound, delivering substantial improvements across the board:
63% Cost Reduction
Automation led to a significant drop in operational costs, saving the company millions.
Improved Time Efficiency
The catalog creation process became faster, allowing the team to focus on strategic initiatives rather than manual tasks.
Enhanced Accuracy
Automated workflows eliminated human errors, ensuring catalogs were consistently accurate and reliable.
Increased Productivity
Freed from the burden of repetitive tasks, employees could now focus on higher-value work.
Explore more successful stories
Want to learn how Wizr Labs can help transform your operations using AI?
Get in touch and discover how to implement Gen AI in your enterprise processes.
Locations
US : 6200, Stoneridge Mall Rd, Pleasanton CA 94588 USA
India: Athulya, Infopark Expy, Infopark Campus, Kakkanad, Kochi, Kerala 682042