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The AI assistant streamlined workflows, cutting call times, boosting upsells, and improving customer satisfaction while enabling CSRs to respond faster and more accurately.

Holley is a leading automotive aftermarket company serving customers across the United States.

Challenge

The client’s customer service group receives about a million phone calls and emails every 12 months. Their customer service representatives (CSRs) struggled with: 

  • Data Accessibility – Difficulty retrieving accurate, up‑to‑date product information quickly during customer interactions.  
  • Revenue Optimization – Missed opportunities for upselling and cross-selling due to fragmented insights. 
  • Information Management – Large volumes of technical and product documentation slowed support processes. 

These issues resulted in longer calls, inconsistent customer experiences, and missed upsell opportunities. 

Solution

Orion developed an intelligent GenAI powered assistant, “Ask Holley”, designed to elevate CSR performance and customer interactions. The solution included: 

Core AI Development Services

  • Intelligent Search System (“Hey Client Assistant”) enabling fast, intuitive, up-to-date access to product data, specifications, pricing, and availability.
  • Realtime Data Integration Engine for inventory/pricing.
  • Unified Customer Interaction History to provide context driven support and personalized service.
  • AI-powered suggestions for complementary products based on customer interests.

Enabling Services

  • Standardization of technical documentation to improve AI retrieval accuracy.
  • Step-by-step troubleshooting assistance for CSRs.
  • CSR training program to accelerate adoption and optimize usage.
  • Ability to package multiple search results, documents, and links for easy sharing with customers.
  • Implementation of a performance analytics dashboard for continuous improvement.

With “Ask Holley”, CSRs could resolve issues faster and engage customers with greater confidence.

Impact

The solution enabled customer service representatives (CSRs) to quickly retrieve product data, provide real-time recommendations, and improve customer interactions. 

  • Reduced Call Times: Quick access to accurate data boosts efficiency.
  • Increased Sales: AI recommendations drive upsell and cross-sell.
  • Enhanced Satisfaction: Consistent service improves customer experience.
  • Efficient Data Management: Seamless data integration optimizes CSR workflows.

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FAQs

Your questions,
answered.

An AI assistant for CSRs is a tool that helps agents quickly find accurate information, answer customer questions, and complete support tasks more efficiently. It typically combines enterprise knowledge, product documentation, customer history, and real-time business data to improve response quality and reduce handling time. 

AI assistants reduce call times by providing instant access to product information, pricing, inventory, and troubleshooting guidance. Instead of manually searching through multiple systems or documents, CSRs receive relevant answers in one place, allowing them to resolve customer inquiries faster. 

Real-time product and inventory data helps CSRs provide accurate information during customer interactions. This reduces the risk of incorrect recommendations, prevents delays caused by outdated information, and enables customers to make informed purchasing decisions while speaking with support. 

AI can recommend complementary or related products based on customer needs, purchase history, or current inquiries. By presenting relevant suggestions during conversations, CSRs can identify natural upsell and cross-sell opportunities without disrupting the customer experience. 

Organizations should consider AI when support teams handle large volumes of customer inquiries, rely on extensive product documentation, or struggle with inconsistent responses. AI is particularly valuable when agents need quick access to accurate information across multiple business systems. 

AI improves access by indexing technical documents and allowing CSRs to search using natural language instead of manually browsing files. It retrieves relevant specifications, troubleshooting steps, and product details quickly, making technical information easier to use during live customer interactions.

Customer interaction history provides context that helps CSRs deliver more personalized and consistent support. By understanding previous conversations, purchases, and service requests, agents can resolve issues more efficiently and avoid asking customers to repeat information. 

AI-powered customer service can improve operational efficiency by reducing response times, increasing information accuracy, and simplifying knowledge access. It can also enhance customer satisfaction through more consistent support while helping organizations identify additional sales opportunities during service interactions. 

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