Intelligent Product Finders
that guide customers to the right solution.
Your customers are overwhelmed by choices. You sell 10,000 SKUs across dozens of categories with technical specifications most buyers don't understand. They abandon your website to call competitors with simpler catalogs or give up and buy from Amazon. AI-powered product finders ask the right questions, understand their needs, and guide them to exactly what they're looking for without requiring a degree in your industry to navigate.
How we help
Traditional product navigation fails for complex B2B catalogs. Customers don't know your category taxonomy. They don't understand the difference between product lines. They can't translate their job site problem into your technical specifications. So they either call your sales team for help (creating bottlenecks) or leave to find simpler options.
Intelligent product finders solve this by meeting customers where they are. Instead of forcing them to navigate categories, the AI asks conversational questions about their application, project requirements, environment, and constraints. What are they building? What performance do they need? What's their timeline? What conditions will the product face?
The AI understands your entire product catalog including technical specifications, compatibility requirements, typical use cases, and common customer questions. It can handle ambiguous requests, ask clarifying follow-ups, and explain trade-offs between options in language your customers actually use.
For simple requests, customers get instant recommendations. For complex scenarios, the finder can escalate to your sales team with a complete summary of requirements, saving 20 minutes of discovery questions. Either way, customers feel guided rather than abandoned. We build these specifically for B2B companies in traditional industries where products are technical, catalogs are large, and buyers need education not just selection. This isn't a generic quiz or filter tool. It's conversational AI trained on your products, your customers' language, and your industry's unique requirements.
The result is customers who find the right products faster, sales teams who spend time on qualified opportunities instead of basic navigation help, and conversion rates that reflect the strength of your catalog rather than the complexity of your website.
Why work with espress labs
- Industry-specific training - AI learns your products, technical specs, and the actual language your customers use when describing their needs
- Handles complexity gracefully - Works for catalogs with thousands of SKUs, multiple product lines, compatibility requirements, and technical specifications
- Seamless sales handoff - When AI can't close the loop, it passes complete context to sales so they pick up where the conversation left off
- Continuously improving - System learns from customer interactions and sales team feedback to get better at recommendations over time
- Mobile-optimized - Works perfectly on job sites where contractors and technicians are actually making purchasing decisions
What we deliver
Workshop sessions to understand your product catalog structure, customer decision criteria, common questions, and ideal recommendation logic based on how your best salespeople guide buyers.
Technical implementation connecting the AI to your product database, specifications, pricing, inventory, and compatibility matrices so recommendations stay current automatically.
Question sequences and decision trees tailored to how your specific customers think about product selection, using their language and addressing their actual concerns.
Machine learning model trained on your products with extensive testing across realistic customer scenarios to ensure accurate recommendations before launch.
Custom UI that matches your brand and integrates seamlessly into your website, optimized for both desktop research and mobile job site usage.
Connection to your sales systems so when customers request human help, their requirements, product interests, and conversation history flow automatically to the right salesperson.
Filters require customers to understand your taxonomy and specifications. AI asks questions in their language, interprets ambiguous requests, and explains why certain products fit their needs. It's conversational, not just filtering.
The AI asks clarifying questions just like a salesperson would. If it still can't determine the right product, it escalates to your sales team with context about what the customer is trying to accomplish.
Typically 6-8 weeks from kickoff to launch. Includes product data integration, AI training, design, testing, and sales team preparation for handling escalations.
Product catalog with technical specifications, typical use cases or applications, compatibility information, pricing and availability, and any existing customer decision guides or sales playbooks your team uses.
frequently asked questions
Have questions about working with us? We've got answers. Here are the most common questions we hear from new clients about our process, pricing, timelines, and what makes us different.
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