How We Helped Sales Teams Find Products 80% Faster

The Challenge

Product information was scattered across database tables, manuals, PDFs and engineering drawings. Teams searched these sources separately and manually gathered the details needed for each recommendation.

Thousands of similar SKUs meant repeatedly adjusting searches and comparing subtle technical differences. Sometimes, when information remained unclear, they depended on subject-matter experts to resolve the question. Expert availability then became another factor in customer-response time.

Finally, when they identified a product, sales reps still had to prepare the customer response. They manually compiled the recommended SKU, specifications and supporting details into an email. Incorrect product selections meant repeating searches, expert reviews and customer emails, delaying responses further.

The Solution

The organisation partnered with Techolution to automate its product-identification workflow. As part of this Full Enterprise Automation (FEA) initiative, we built Product Genius. With this, sales teams enter the customer’s question into the Product Genius platform in plain English. They can ask which product meets a specific requirement or clarify technical specifications.

Then, Product Genius recommends suitable products and lets sales teams review supporting evidence within one interface. Our BPA 4.0 framework helps us build this solution. Its Cognitive Decisioning capability makes the reasoning behind each recommendation visible.

Each result shows matched attributes, a match score and the factors influencing its ranking. This helps sales teams understand why one product fits better than another. The platform also answers technical questions using approved guidelines and highlights the supporting information. So, sales teams now verify answers without asking experts to resolve every routine question. This gives subject-matter experts more time for complex customer requirements.

When a question is ambiguous, the platform asks for clarification before recommending a product. Sales teams narrow the requirement and review answers grounded in trusted product information. This also reduces routine dependence on experts while supporting faster, evidence-backed customer responses.

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The Outcome

The impact appears across sales capacity, operating costs and product-selection accuracy:

Sales teams gained a repeatable way to identify, validate and recommend suitable products.