Get on a call with us to see how we can help you
Get a QuoteMost AI tools suggest. Ours executes. Redefine ships AI agents that enrich product data, rescue suppressed listings, route orders, and answer buyer questions, all grounded in your live product information management record. Every action is reviewable. Every outcome is auditable.
See a working demo · no commitment · 30 minutes on your real data
When AI agents run inside the same platform that holds your product data, orders, and channels, the math changes.
Buying AI is easy. Operating it is the hard part. Tap each card to see what breaks, then what we fix.
It writes pretty paragraphs that contradict your spec sheet, your product identifier master, and your marketplace policy. You catch it. Sometimes.
Tap to see the flipEvery output cites the attribute it pulled from. Brand voice rules apply automatically. If a fact is missing, the AI flags it instead of inventing it.
Tap backThe bot in your content management system does not know your inventory. Your marketplace tool does not know your business-to-business contract pricing. Each one needs a human to bridge the gap.
Tap to see the flipA single rule can enrich a product, route an order, refresh a marketplace listing, and notify a buyer. No connectors to babysit. No data export to a separate AI tool.
Tap backBrand voice drifts. Compliance lines disappear. When a customer flags a wrong claim, you cannot trace which prompt produced it or when it shipped.
Tap to see the flipBrand voice rules and compliance guardrails apply before publish. Confidence scores flag risky outputs. The audit log answers who, when, and why for every change.
Tap backEach module ships ready, drops into the same data layer, and respects the same governance rules. Pick what you need today, turn on the rest as you grow.
Pick one of three real commerce scenarios. Watch the agent work across product information management, order management, and marketplace. Approve at the human-in-the-loop gate. See what changed.
Step 1
Pick a trigger to send the agent into.
Step 2
Watch the agent walk the workflow.
The agent begins by reading the trigger event and loading the live product information management record before it touches anything else.
The agent has prepared its changes. Confirm before they go live.
Agent run complete. Here is what changed.
A supplier sheet lands at 9:14 in the morning. By lunchtime, you need that product live across direct-to-consumer, business-to-business, and Amazon. Watch what each kind of AI does next. Flip the toggle.
Buyers, shoppers, sales representatives, and operators all talk to the same agent. Each one gets the answer they need, grounded in the data they are allowed to see. Pick a persona to peek inside.
A buying assistant that knows your contract pricing, your approval rules, and your last twelve orders.
Every Redefine module exposes the AI agent. Click a node to see what the agent does inside that integration.
Enterprise resource planning-to-storefront inventory sync, replacing manual data handling
Of equipment and parts now visible to customers online
Marketing flows now run on inventory and behavior events, not manual schedules
The challenge was a legacy site that could not handle catalog scale, no integration between the storefront, the enterprise resource planning system, and email marketing, and manual processes that created silos. The team rebuilt the storefront on an application programming interface-first headless architecture, integrated it directly with the legacy enterprise resource planning system for real-time equipment and parts sync, and connected Klaviyo at the headless level to fire automated flows on inventory and behavior events. The result is an automated, scalable platform with full inventory visibility, accurate cross-system data, and marketing that runs itself based on what is actually happening in the business.
Explore the rest of the suite
Bolt-on AI tools live next to your data. Ours lives inside it. The same agent reads your product information management record, writes the marketplace listing, and routes the order, all from one platform with one permission model and one audit log. No connectors to babysit, no data export to a separate AI vendor, no copy-paste between systems.
Three layers. First, every output is grounded in your live product information management record, so it cannot invent specs. Second, brand voice and compliance guardrails apply automatically before publish. Third, the AI assigns a confidence score and routes anything below your threshold to a human approval queue. You see the proposed change, accept, edit, or reject in one click.
Yes. The automation engine is a visual builder. Pick a trigger (order placed, stock low, listing suppressed, form submitted), pick conditions, pick actions across modules. Save and run. The same builder is used by operations leads, information technology directors, and platform admins. Webhook triggers and application programming interface extension are available for cross-system automation when you need them.
Every AI action writes a row to the audit log: what changed, which agent ran it, which prompt produced it, who approved it, and the timestamp. Each row carries a one-click revert. If a customer flags a wrong product claim, you can trace the full chain and roll back the change in seconds, not days.
The two highest-impact starting agents (catalog enrichment and suppressed-listing rescue) are pre-built and ship configured. Most teams see them running on real data within the first two weeks of platform onboarding. Custom agents using the no-code automation engine typically take a single team afternoon to design, test, and turn on.
Looking for something else? Book a working session and ask in person
We would rather turn away the wrong lead than waste your afternoon. Read both columns honestly.
Not sure? Tell us your situation and we will be straight with you.
A working session on your real data. Pick the workflow you hate the most. We show you the agent that retires it, end to end, in 30 minutes.
No commitment No pitch Working session, on your data
Scoped before work starts. Line-by-line pricing. No commitment to receive a proposal.
Call within 48 hours · proposal in 3 days · Sprint 1 within 1 week of sign-off
We will review your workflow and send a scoped proposal within 3 business days. Expect a call within 48 hours to align on priorities.