CASE STUDIES

Leading Bearings Company Transforms Knowledge Management with an AI Assistant

Industry: Industrial manufacturing and distribution

  • AI Assistant

Tom had been an integral part of the organization, with unmatched expertise across the entire product range. He played a critical role in advising the sales team and helping customers choose the right bearings for their specific applications. His sudden passing created a major knowledge gap that immediately impacted operations.

The key challenges faced included:

  1. Loss of Critical Knowledge: Tom possessed extensive institutional knowledge that wasn’t fully documented, leaving the team without a clear way to access his insights on complex product queries.
  2. Navigating a Large Product Catalog: With over 20,000 SKUs, it became challenging for newer sales representatives to confidently recommend the right bearings, leading to slower response times and occasional product mismatches.
  3. Customer Experience Decline: Without Tom’s expert guidance, the sales team struggled to provide the quick, accurate recommendations that customers had come to expect.
 

Steps to Transformation

  1. AI-Driven Product Recommendations:
    The sales and support teams integrated the AI assistant into the organization’s CRM and communication tools. The assistant could instantly suggest the right bearing based on customer needs, industry specifications, and use cases. It became a virtual product expert that helped guide sales reps and customers through the vast catalog of bearings.

  2. Automating Common Queries:
    The organization implemented the AI assistant to handle routine product queries, such as questions about bearing types, sizes, or performance specifications. This automation reduced the load on the support team, allowing them to focus on more complex customer inquiries.

  3. Continuous Knowledge Updates:
    As the organization continued to expand its product line, the AI assistant constantly updated the knowledge base. It learned from new product releases and customer feedback, ensuring that the sales team always had the most current information at their fingertips.

  • Improved Sales Efficiency:
    With the AI assistant guiding the sales team, the time to respond to customer inquiries and provide product recommendations was cut by 40%. Sales reps were empowered to quickly find the right bearing, leading to faster sales cycles and fewer product errors.

  • Enhanced Customer Satisfaction:
    Customers quickly noticed the improvement. With faster, more accurate recommendations, the organization saw a 15% increase in customer satisfaction. Clients appreciated the reliable service, even with the loss of Tom’s personal expertise.

  • Faster Onboarding for New Employees:
    The AI assistant allowed new employees to become proficient in product knowledge 50% faster than before. It helped them gain confidence in product recommendations, reducing mistakes and improving customer interactions.

  • Eliminating Knowledge Silos:
    The AI assistant ensured that Tom’s knowledge wasn’t lost. Now, everyone in the organization had access to the same high-level product expertise, from junior sales reps to experienced engineers. This eliminated bottlenecks and allowed for consistent customer service, no matter who was handling the request.

  • Future-Proofing Knowledge Management:
    By partnering with KnowledgeNet.ai, the organization ensured that its institutional knowledge would never be reliant on just one person again. The AI assistant continues to learn and adapt as the company grows, providing the flexibility and scalability needed for future expansion.

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