The ecommerce chatbot where you ask and commerce happens
With this ecommerce chatbot, buyers re-order in plain English. Reps get instant quote drafts. Admins ask platform questions and get live answers. Conversational commerce software turns every interaction into a direct action, no forms, no filters, no friction.
Grounded in live catalog, account, and order data, not disconnected chatbot scripts.
Buyers navigate. They should be able to just ask.
- Business-to-business buyers filter through 3,000-item catalogs to re-order items they bought last quarter.
- Sales reps manually build quote drafts from scattered pricing spreadsheets, taking 30 or more minutes each.
- Platform admins run reports to answer "which products are suppressed?" every time, from scratch.
- Direct-to-consumer shoppers describe what they want and get back a search results page with zero relevant hits.
- "Re-order last month's safety supplies under my budget" executes immediately with correct account pricing applied.
- Reps type a customer request in plain English and get a complete quote draft with correct account pricing in under 60 seconds.
- Admins ask platform questions and get live, grounded answers, no dashboards, no manual queries.
- Direct-to-consumer shoppers describe what they want and get ranked recommendations pulled from live catalog, stock, and purchase history.
Ask the AI. Watch chat commerce respond.
Select a scenario below to see how Redefine's conversational ai ecommerce engine handles real commerce queries, grounded in live catalog, account, and order data.
Or type your own query
Grounded in live data
Six interfaces. One conversational commerce software platform.
Every ecommerce chatbot interface is grounded in the same live data layer, Product Information Management catalog, Order Management System, account state, and inventory, so every answer is accurate and every action is real.
AI Buying Assistant
Buyers type natural language requests: "re-order last month's safety supplies under my $2,400 budget" and the ecommerce chatbot executes with correct account-specific pricing, contract terms, and approval routing applied automatically.
AI Shopping Chatbot
Shoppers describe what they need in natural language. This shopping chatbot returns ranked recommendations grounded in live stock, purchase history, and product attributes, not keyword matches.
AI Rep Assistant
Reps type a customer request in plain English. The AI generates a complete quote draft with correct account pricing, tier discounts, and freight terms, in under 60 seconds.
AI Admin Copilot
Platform operators ask questions in plain English. "Which products are suppressed on Amazon due to missing attributes?" returns a live, actionable list, no reports, no dashboard clicks.
Program Store Chatbot
Employees ask "What's left in my allowance?" or "Order me a medium in navy" via chat. This shopping chatbot checks their balance, applies budget controls, and places the order, no portal navigation required.
Multilingual AI Assistant
The same conversational interface operates across all supported languages, drawing from locale-specific catalog data, pricing, and compliance rules. One AI model. Every market.
Same query, every locale
One query. Full platform. Real action.
Buyer types a query
A buyer, rep, admin, or program participant types, or speaks, a natural language request through any touchpoint: portal, mobile, chat widget, or embedded interface.
AI grounds in live data
The conversational commerce software reads live catalog attributes, account-specific pricing tiers, open order history, current inventory levels, and budget allowances, all from the Redefine unified data layer.
Action is generated
The AI returns a response, product cards, quote draft, inventory answer, or a ready-to-submit order, with all account rules and approval routing pre-applied. No manual steps needed.
Governance stays intact
Every action passes through the same approval workflows, budget controls, and audit trail as manual orders. The ecommerce chatbot never bypasses operational governance.
Business-to-business complexity resolved. Revenue followed.
Business-to-business promotional products company with complex catalogs, customer-specific pricing, and approval-based purchasing workflows across multiple accounts.
The legacy platform could not support complex business-to-business workflows or scale efficiently. Inventory syncing was unreliable, catalogs loaded slowly, customer approvals were manual, and system data was fragmented across disconnected tools, making self-serve ordering nearly impossible for buyers.
A complete rebuild was executed using a headless ecommerce architecture with an application programming interface-first data layer. The frontend was redesigned to support large catalogs, fast load times, and clear business-to-business purchasing flows, with account-specific pricing and approval routing connected to the live data layer.
- Live inventory connected to all catalog views
- Customer-specific pricing tiers applied at query time
- Automated business-to-business approval routing eliminating manual review steps
- ERP and Salesforce integration for full order and account visibility
reduction in manual business-to-business approval processing time
No other business-to-business platform has a native conversational buying interface.
Other implementation partners bolt point-solution chatbots onto their platforms. Redefine chat commerce is native, built on the same data layer as Product Information Management, Order Management System, and commerce, not a disconnected widget reading stale data.
Grounded, not hallucinated
Every conversational ai ecommerce response reads from live platform data. Account pricing is current. Inventory is real. Order history is accurate. The AI cannot invent a product, price, or availability status that does not exist in the system.
Governed by default
Conversational speed does not bypass your approval workflows, budget controls, or audit trail. Every action this conversational commerce software facilitates passes through the same governance rules as a manually placed order.
Unified, not bolted on
There is no chatbot integration, no application programming interface key to manage, and no separate vendor to contract. The ecommerce chatbot is a first-class module of the same platform that runs your catalog, orders, and channels.
Who gets the most from conversational ai ecommerce
Business-to-business distributors with large catalogs
Buyers navigating 10,000 or more catalog items reduce re-order time from 20 minutes to under 60 seconds with a single natural language query.
Sales teams generating quotes manually
Reps who currently build quotes from spreadsheets gain AI-drafted quotes with correct account pricing in under 60 seconds, with no change to the approval process.
Direct-to-consumer brands with high search abandonment
Shoppers who describe what they want and leave because search returns poor results, chat commerce captures this intent and converts it.
Program store operators managing allowances
Employees who call or email to ask about their balance or place orders gain an instant self-serve shopping chatbot, reducing admin overhead for store operators.
- Your catalog has fewer than 100 items with no customer-specific pricing, standard search is sufficient.
- You need general customer service chat, this module is purpose-built for commerce actions, not support tickets.
- Your buyers prefer a traditional catalog-browse experience and have shown no intent signal for chat-first interfaces.
Not sure? Tell us your situation and we'll be straight with you.
Talk to our team →Real questions from buyers who almost did not proceed
No. Redefine conversational AI is grounded, it reads from your live catalog, account pricing database, and Order Management System order history before generating any response. It cannot fabricate a catalog item, price tier, or stock level that does not exist in your platform data. If the system does not have the answer, the AI says so and offers the closest available option.
Both. In self-serve mode, the AI can submit an order for review or straight-to-cart depending on your governance settings. For accounts that require manager approval, the AI assembles the order and routes it through your existing approval workflow. The buyer sees a confirmation and an estimated review time, no manual handoff needed.
The AI resolves the query against every relevant data source simultaneously, catalog, pricing, inventory, and account rules, and returns a ranked set of items or a complete multi-line order that satisfies the constraints. For example, "get me personal protective equipment items that fit our contract and are in stock in the Northeast warehouse" is a single query that returns a filtered, compliant list.
It is a native module, not an integration. There is no separate vendor, no application programming interface key to manage, and no third-party chatbot to configure. This ecommerce chatbot is deployed as a first-class component of the Redefine platform and reads from the same data layer as every other module. Configuration is done in your platform admin, not in a parallel tool.
For a standard business-to-business buying assistant with existing catalog and account data in the platform, the first live conversation is available within 10 days of Sprint 1 kickoff. That includes grounding configuration, persona setup, governance rule mapping, and a user acceptance testing session with your team. Multilingual support and custom persona flows add 5 to 7 days depending on scope.
Submit a brief. Get a scoped proposal in 3 days.
Tell us what your buyers are doing manually today. We'll outline how conversational ai ecommerce would handle it, with data grounding, governance rules, and a deployment timeline included.
No commitment. No pitch.
Brief received
We'll review your situation and send a scoped proposal within 3 business days. Expect a call from our team within 48 hours.
Tell us about your buying workflow
Your buyers are ready to just ask.
Book a live walkthrough and see how Redefine's chat commerce responds to your specific catalog, account structure, and buying scenarios, with real data from your platform, not a scripted demo.
