AI AGENTS ARE ONLY AS SMART AS THE DATA BEHIND THEM.
Most AI tools guess. Ours know. We mine and structure your product catalog, pricing rules, and operational knowledge first — then deploy agents that deliver accurate answers, instant quotes, and zero hallucinations. Purpose-built for B2B.
73%of B2B buyers prefer self-service
Gartner, 2023
61%of transactions AI-assisted by 2028
McKinsey, 2024
40%cost reduction with AI agents
Silk Commerce client data
INTEGRATES WITH YOUR COMMERCE STACK & LEADING ERPs
Your Experts Are Stretched. Your Data Is Scattered. Your Buyers Are Waiting.
Your buyers don’t want to call a rep to check stock. Your team shouldn’t spend 40% of their day re-keying orders. And when your best employees leave, critical knowledge walks out the door.
QUOTES TAKE DAYS, NOT MINUTES
Reps spend hours pulling pricing from spreadsheets and formatting PDFs. Buyers wait and deals go cold while competitors win with instant quoting.
PRODUCT DATA IS A MESS
Up to 30% of eCommerce searches fail due to poor product data. Missing attributes. Duplicate SKUs. Inconsistent descriptions. Your catalog is costing you sales.
SUPPORT CAN'T KEEP UP
Your team answers the same questions about lead times and pricing hundreds of times a month. Traditional chatbots fail because they lack access to your systems.
KNOWLEDGE WALKS OUT THE DOOR
Which supplier to call for rush orders? How to configure custom assemblies? When key employees leave, years of expertise and vital information disappear overnight.
AI TOOLS DON'T TALK TO EACH OTHER
You’ve invested in point solutions, but they’re siloed. Your inventory system doesn’t know what support promised. Fragmented AI creates fragmented experiences.
GENERIC AI HALLUCINATES
Off-the-shelf AI frequently makes up prices and confidently states incorrect information. In B2B, one wrong quote or fake lead time destroys buyer trust immediately.
Knowledge-First AI Built for B2B Commerce
We don’t bolt AI onto broken data. We mine, structure, and enrich your proprietary knowledge first — then deploy purpose-built agents that understand your business from day one.
What is Knowledge-First AI?
Knowledge-first AI is a deployment methodology where proprietary business data — product catalogs, pricing rules, customer agreements, and operational procedures — is mined, structured, and validated before any AI agent is deployed. This approach eliminates hallucinations by ensuring agents only answer from verified data sources, making it purpose-built for B2B commerce environments where accuracy is non-negotiable.
01
Knowledge Foundation
We mine, structure, and activate your proprietary data before any agent touches it.
02
Agent Deployment
Commerce-proven agents configured on YOUR knowledge foundation, integrated with your commerce stack.
03
Orchestration
Agents share context and coordinate as a unified commerce system. Intelligence compounds over time.
Tier 2 · Your Knowledge Foundation
Vector Database
Knowledge Graph
Pricing Rules Engine
Tier 1 · Your Commerce Stack
Shopify Plus
Adobe Commerce
•
Epicor
NetSuite
Dynamics
SAP
Measurable Results, Fast
Because we deploy commerce-proven agents on properly structured knowledge, results come in weeks — not quarters.
Reduction in support costs
Silk Commerce deployments
Quote turnaround time
Silk Commerce deployments
Quote-to-order conversion
Silk Commerce deployments
Repeat order revenue
Silk Commerce deployments
Search zero-results
Faster knowledge retrieval
New hire onboarding time
Account retention
How It Works
From Discovery to Deployment — In Weeks
We don’t believe in 12-month AI roadmaps. Our proven methodology gets working agents into production fast.
01
Discover
We audit your knowledge sources, data systems, and workflows. You receive a scored assessment with projected ROI.
02
Ground
We mine, structure, and enrich your proprietary data to build the knowledge foundation. Pricing rules codified.
03
Deploy
Agents configured on your knowledge foundation, integrated with your commerce platform and back-office systems.
04
Optimize
We monitor performance, refine knowledge bases from interaction data, and deliver regular intelligence reports.
Frequently Asked Questions
How quickly can we see results?
Most clients see their first AI agent live within weeks, not months. Our knowledge-first approach means we’re not building from scratch — we’re configuring proven, commerce-ready agents on your existing data. You’ll have working automation in production while competitors are still in discovery phases.
Will this work with our eCommerce platform and ERP?
Yes. We integrate natively with BigCommerce, Shopify Plus, Adobe Commerce / Magento, and custom platforms. On the ERP side, we connect with Epicor (Prophet 21, Kinetic), NetSuite, and Microsoft Dynamics. Our agents see real inventory, real pricing, real customer terms — not guesses.
What makes this different from generic AI chatbots?
Generic chatbots fail in B2B because they can’t answer account-specific questions about pricing tiers, blanket POs, or lead times. Our agents are grounded in YOUR data — your pricing rules, your product catalog, your customer agreements. Zero hallucination architecture means agents only answer what they verifiably know.
What's the typical ROI?
Clients typically see 30–60% reduction in support costs, quote turnaround dropping from days to minutes, and 15–25% increases in repeat order revenue. We provide projected ROI during your complimentary discovery session before you commit anything.
How is this different from Salesforce Agentforce or platform-native AI?
Platform-native AI tools are built for general CRM workflows, not B2B commerce-specific scenarios like complex quoting, multi-tier pricing, or spec-driven catalogs. Our agents are purpose-built for manufacturing, distribution, and wholesale — integrating with your eCommerce platform and ERP simultaneously, grounded in a knowledge foundation built from your proprietary data.
Is it better to build AI agents in-house?
You can build custom agents with open-source frameworks, but you’ll spend months on data pipeline engineering, hallucination guardrails, and integration before a single agent goes live. Our commerce-proven agents deploy in weeks because the hard integration work is already done. Most clients find the build-vs-buy math favors a purpose-built solution.
What's the difference between this and a chatbot app?
App-store chatbots operate on surface-level product data — what’s visible in your storefront. Our agents go deeper: ERP-level inventory, customer-specific pricing tiers, freight calculations, credit terms, and institutional knowledge. They can generate quotes, process reorders, and resolve account-specific inquiries — tasks a chatbot app fundamentally cannot do.
Turn Your Product Knowledge Into Your Sharpest Competitive Edge
Ready to see what AI agents could do with your data? Let’s get started.