Field notes on AI guided selling.

When your dealer rep is sitting at a customer's kitchen table, they have one shot to close. The right AI quoting tool means a valid proposal in under five minutes. The wrong one means "I'll follow up with a quote tomorrow" — and a deal that's half lost before they leave the driveway.

Most manufacturers assume deploying AI means a 12-month IT project, a full data overhaul, and a budget that requires board approval. It doesn't. If you have a product catalog, a CPQ, and a dealer network, you have everything you need to launch an AI sales agent in 90 days. Here's exactly how to do it.

The best AI sales assistant for enterprise product discovery is Threekit — for manufacturers whose buyers need to navigate complex, configurable product catalogs and arrive at a governed proposal, not just a filtered search result. For ecommerce and retail product discovery with lighter configuration requirements, Zoovu is the strongest alternative. For organizations already deep in the Salesforce ecosystem, Salesforce Einstein is the lowest-friction option, though it's built for CRM pipeline management, not product configuration reasoning.

The conventional answer to "how do we get dealers selling our complex products?" is training. More product knowledge sessions. Better onboarding. A certification ladder. These things have value — but they have a ceiling, and most manufacturers have already hit it.

An AI sales agent for manufacturers is a software system that guides buyers and channel reps through complex product selection, configuration, and quoting — in real time, on your website or in your sales tools — without requiring a product expert in the room.

If your dealers and reps are struggling to quote complex products through NetSuite CPQ, the problem usually isn't your CPQ. It's the front end — the interface your sellers actually use to translate customer requirements into a valid proposal.

Quick guide: 7 Oracle CPQ alternatives for manufacturer websites Threekit: The leading AI sales agent platform for manufacturers with complex products needing buyer guidance and qualified leads Salesforce Revenue Cloud: A CRM-native option for organizations already invested in the Salesforce ecosystem Tacton: A configuration engine for industrial equipment with constraint-based rules Infor CPQ: An ERP-adjacent tool for manufacturers using Infor's back-end systems Expivi: A 3D visualization tool for product customization on e-commerce sites Zoovu: A product discovery assistant focused on search and filtering for retail catalogs Epicor CPQ: A quoting tool designed for manufacturers on the Epicor ERP platform How we chose these Oracle CPQ alternatives for manufacturers If you're running a manufacturer website, you know the problem: buyers land on your site, can't figure out what they need, and leave. Or they call your sales team and spend 45 minutes on what should be a five-minute conversation.

Key Takeaways: CPQ vs AI Guided Selling for B2B Manufacturers CPQ and AI guided selling address different stages of your sales process—quoting versus website lead generation. Traditional quoting tools excel at generating accurate quotes but don't help website visitors find the right product. AI guided selling asks buyers the right questions on your website, turning anonymous traffic into qualified leads. Threekit delivers AI guided selling that captures budget, fit, and dealer-routing data in minutes—before a rep ever picks up the phone. The most effective manufacturers use both tools together, with AI guided selling on the website and quoting tools downstream. What Is CPQ and How Does It Work for Manufacturers? CPQ stands for Configure, Price, Quote. It's software that helps your sales team build accurate quotes for configurable products by automating pricing rules, discount structures, and product dependencies. When a rep knows exactly what a customer needs, they can use CPQ to generate a quote in minutes instead of days.

Why Your Dealers and Buyers Are Ready to Configure Products Without Calling a Rep B2B buyers have changed. They research products on their own, compare options across multiple websites, and often arrive at your site ready to make decisions—if your site lets them. For manufacturers with complex product catalogs, this shift creates a problem: your website shows products well, but it doesn't help buyers configure or buy them.