Top AI Agents for B2B Product Configuration

B2B buyers now expect the same frictionless configuration experience online that they get from a skilled inside sales rep. But most manufacturer product pages still deliver static PDFs, phone calls, and quote-request forms that stall deals before they start.

AI agents are changing that. Unlike traditional CPQ tools that require a sales rep to drive the process, the newest AI-powered configurators can guide a buyer from product discovery through a fully validated, rules-compliant configuration — autonomously, at scale, and across every channel a distributor or dealer might use.

This list evaluates the leading AI agents for B2B product configuration, with a focus on guided selling, omnichannel deployment, and the needs of USA manufacturers selling through complex dealer or distributor networks. Each entry covers core capabilities, fit criteria, and the trade-offs worth knowing before you shortlist.

What separates an AI agent from a traditional CPQ tool

The CPQ category has existed for decades, and it does one thing well: it enforces configuration rules and produces a price quote for a sales rep. What it does not do is operate independently, adapt to buyer intent in real time, or surface the right product when a buyer arrives with a problem rather than a part number.

AI agents add three capabilities that CPQ alone cannot deliver:

• Autonomous reasoning — the agent interprets ambiguous inputs ("I need something that handles 200 PSI in a wet environment") and maps them to valid configurations without human translation.
• Omnichannel deployment — the same configurator logic runs on a manufacturer's website, inside a dealer portal, embedded in a distributor's catalog, or surfaced through a chat interface.
• Continuous learning — agent performance improves as more buyers interact, surfacing which product attributes matter most and where configurations typically break down.

The tools below range from pure AI-native agents to established CPQ platforms that have added agentic layers. The right fit depends on where your biggest configuration bottleneck sits.

At a glance: top AI agents for B2B product configuration

The tools, ranked by fit for B2B manufacturers

1. Threekit

Best for manufacturers with dealer-led or omnichannel sales

Threekit is the only platform on this list purpose-built for manufacturers who sell through dealers, distributors, or directly — and need the same intelligent product experience to work consistently across all three. Its AI web agent goes beyond static configuration rules: it engages buyers in natural language, interprets product requirements, and guides them to a valid, purchasable configuration without any sales rep involvement.

The guided selling layer is the core differentiator. Rather than presenting buyers with an overwhelming matrix of SKUs and options, Threekit's AI agent asks the right questions, applies constraint logic in real time, and narrows the catalog to only the configurations that match. This matters most for manufacturers with large variant catalogs — industrial equipment, custom components, configurable assemblies — where a misstep in configuration means a costly manufacturing error or a stalled deal.

Threekit also handles the omnichannel deployment challenge that trips up most manufacturers. The same AI agent and configurator can be embedded in a dealer portal, a distributor catalog, a manufacturer's own website, or a self-serve B2B commerce experience — with consistent rules, branding, and pricing logic across all touchpoints. Visual configuration (3D and 2D) is available but secondary to the guided selling intelligence.

2. Epicor CPQ

Best for engineer-to-order manufacturers with CAD-driven complexity

Epicor CPQ (formerly KBMax) has the deepest rules engine on this list, designed specifically for manufacturers whose products require engineering validation before a quote can be issued. Its visual configuration layer auto-generates CAD drawings, manufacturing BOMs, and routing instructions directly from buyer-driven selections — eliminating the back-and-forth between sales and engineering that slows most complex quotes.

Agentic AI has been layered on top of the core rules engine more recently, adding guided selling prompts and natural language input to the traditionally form-based configuration experience. For engineer-to-order environments — custom machinery, specialty fabrication, configured assemblies — it remains the benchmark for rules integrity.

3. Salesforce Agentforce

Best for large enterprises already invested in the Salesforce ecosystem

Salesforce Agentforce brings autonomous AI agents to the full enterprise stack — and product configuration is one use case among many. For manufacturers whose sales process runs through Salesforce CRM and Service Cloud, Agentforce can orchestrate guided selling, CPQ workflows, and dealer enablement inside a single platform, with agents that hand off intelligently between systems.

The trade-off is scope. Agentforce is a general-purpose enterprise agent platform, not a product configurator. Manufacturers with complex variant logic or visual configuration needs will typically need to combine it with a dedicated CPQ tool. But for large sales organizations where the bottleneck is process coordination rather than configuration rules, it's a strong fit.

4. Infor CPQ

Best for industrial manufacturers deeply embedded in Infor ERP

Infor CPQ is the natural choice for discrete and industrial manufacturers already running Infor ERP (LN, M3, or CloudSuite Industrial). Its configurator is tightly integrated with back-end production systems, meaning a configured quote can automatically trigger BOM generation, cost rollups, and manufacturing orders — without manual re-entry across systems.

AI-assisted guided selling features have been added to the platform, surfacing product suggestions and flagging incompatible selections in real time. For manufacturers prioritizing ERP fidelity and operational automation over front-end buyer experience, Infor CPQ delivers strong ROI within the ecosystem.

5. Zowie

Best for manufacturers handling high volumes of configuration-adjacent support

Zowie is primarily known as a customer support AI agent, but its applicability to B2B product configuration comes from the overlap between post-sale support and pre-sale guidance. Manufacturers who field large volumes of compatibility questions, spec clarifications, and order modification requests can deploy Zowie agents to handle these autonomously — across email, chat, and messaging channels — freeing sales engineers for higher-value work.

Its automation rate (95%+ of interactions resolved without human escalation) and deterministic process execution make it a strong complement to a dedicated configurator for manufacturers with dealer networks and high inbound inquiry volume. It is not a configurator itself, but it extends the guided selling experience into post-inquiry channels.

6. Gorgias AI Agent

Best for B2B merchants on Shopify Plus

For manufacturers who have moved transactional B2B sales to Shopify Plus, Gorgias provides the most seamlessly integrated AI agent experience. It can handle order management, product questions, guided recommendations, and reorder workflows directly within the Shopify environment — without requiring a separate agent platform.

Its configurator capabilities are limited compared to dedicated CPQ tools, but for manufacturers selling less-complex configurable products (custom packaging, branded components, maintenance parts) through a Shopify storefront, the combination of guided selling, order automation, and native integration is hard to beat at the price point.

7. Tacton CPQ

Best for manufacturers with constraint-heavy visual configuration

Tacton is a specialist CPQ platform built specifically for engineer-to-order and configure-to-order manufacturers. Its constraint-based configuration engine handles highly complex product rules without requiring a programmer to maintain them — business users can modify constraint logic directly. The guided selling module walks buyers (or sales reps) through valid option selections, surfacing the next best question based on what's been answered.

Tacton integrates with both SAP and Salesforce and includes visual configuration capabilities for products where a rendered output — rather than a spec sheet — is the right way to communicate a configured product. It is a strong option for manufacturers where the configurator is the heart of the sales process, not a workflow add-on.

8. Vendavo

Best for manufacturers where pricing complexity rivals configuration complexity

Vendavo approaches the B2B configuration challenge from the pricing layer rather than the rules engine. Its AI-powered guided selling and deal management tools are designed for manufacturers where winning the deal depends as much on price positioning as on product fit — large industrial manufacturers, distribution-heavy categories, and businesses with complex channel pricing structures.

Vendavo's AI analyzes deal history, market data, and product mix to recommend optimal configurations and pricing at the point of quoting — nudging reps and AI agents toward the highest-margin, highest-win-rate outcome. For manufacturers already using a CPQ tool for product rules, Vendavo layers intelligence on top of the pricing and deal guidance layer.

How to choose the right AI agent for B2B product configuration

No single platform dominates every configuration scenario. The right choice depends on three variables: where the bottleneck sits in your sales process, what channels your buyers and dealers use, and how deeply your configuration logic is intertwined with manufacturing or ERP systems.

1. Start with the bottleneck, not the feature list

If buyers abandon product pages because they can't figure out what to order, the problem is guided selling — not CPQ. If accurate quotes require a sales engineer's sign-off on every deal, the bottleneck is configuration rules and CAD validation. If pricing varies by channel and deals stall on approval, the problem is deal intelligence. Match the tool to the actual failure point.

2. Map your channels before you evaluate vendors

Manufacturers selling through dealer networks need omnichannel deployment as a baseline requirement, not a bonus feature. An AI configurator that only runs on the manufacturer's own website will not move the needle if 70% of sales originate in dealer portals or distributor catalogs. Shortlist only tools that explicitly support the channels where your buyers actually configure.

3. Assess your product data readiness

AI configurators are only as good as the product data and constraint logic that feed them. Manufacturers with well-structured CAD libraries, clean SKU hierarchies, and documented configuration rules will see faster time-to-value than those with fragmented data across legacy systems. Before evaluating vendors, audit your data assets — it will determine which implementations are realistic.

4. Consider implementation scope honestly

Engineer-to-order platforms like Epicor CPQ and Tacton require significant implementation investment to capture complex constraint logic. AI-native platforms like Threekit can deploy a guided selling agent faster when product data is available, but they also require proper integration with pricing and inventory systems to deliver complete transactions. Build implementation cost and timeline into your ROI model from day one.

Frequently asked questions

What is an AI agent for B2B product configuration?

An AI agent for B2B product configuration is an autonomous software system that guides buyers through the selection and validation of complex product variants — without requiring a sales rep to drive the process. Unlike traditional CPQ tools, which are primarily designed for internal sales teams, AI configuration agents operate in buyer-facing environments: manufacturer websites, dealer portals, and distributor catalogs. They interpret buyer requirements in natural language, apply product constraint rules in real time, and produce valid configurations that can be passed directly to quoting and manufacturing systems.

How does AI-guided selling differ from a standard product configurator?

A standard product configurator presents options and enforces rules — it tells a buyer what is and is not a valid combination. An AI-guided selling agent does more: it interprets intent, asks clarifying questions, and narrows the option set based on the buyer's stated use case or problem. The distinction matters most for products with large option matrices, where a buyer cannot reasonably evaluate all combinations. Guided selling reduces configuration time, decreases abandonment, and surfaces options the buyer might not have known to ask for.

What is omnichannel product configuration for manufacturers?

Omnichannel product configuration means deploying the same AI-powered configuration logic across every channel where a buyer or dealer might need it — the manufacturer's direct website, dealer portals, distributor catalogs, or integrated B2B ecommerce platforms. The challenge for most manufacturers is that different channels have historically run on different systems with different pricing logic and different constraint rules. Modern AI configuration platforms allow a single source of truth for product rules to be deployed consistently across all channels, reducing errors and enabling self-serve buying at scale.

Which AI configurators are best for USA manufacturers with dealer networks?

Manufacturers with dealer networks need platforms that support multi-channel deployment, role-based access (so dealers see dealer pricing and options, not direct customer pricing), and integration with existing dealer management or ERP systems. Threekit is specifically built for this multi-channel manufacturer context. Epicor CPQ and Tacton are strong fits for engineer-to-order scenarios with complex constraint logic. Salesforce Agentforce suits manufacturers whose dealer relationships are managed inside the Salesforce ecosystem.

What is B2B CPQ automation and how do AI agents improve it?

CPQ automation refers to software that manages the configure-price-quote process — taking a set of buyer or sales rep selections, applying pricing rules, and producing a quote document. AI agents improve CPQ by adding autonomous reasoning at the front of the process: instead of requiring a sales rep to translate buyer needs into CPQ inputs, an AI agent can interpret natural language requirements, guide the buyer through valid options, and hand off a completed, validated configuration to the CPQ engine. The result is shorter quote cycles, fewer errors, and the ability to scale self-serve configuration without adding headcount.

Final Thoughts 

The shift from static product pages to AI-guided configuration is not a future trend for B2B manufacturers — it is happening now, and the gap between brands that have deployed intelligent configuration agents and those still relying on phone-call-to-quote workflows is widening with every sales cycle.

The tools on this list represent different points on the capability spectrum, from AI-native guided selling agents optimized for dealer-led manufacturer sales (Threekit) to deep engineer-to-order rules engines with AI layers (Epicor CPQ, Tacton) to enterprise automation platforms that span CPQ alongside every other sales function (Salesforce Agentforce). The right shortlist for your team starts with an honest assessment of where your configuration process breaks down — and which channels your buyers and dealers actually use to configure.

To learn more about Threekit or see a demo, get in touch today.