Workflow automation software that runs your commerce. With humans in control.
Most AI tools suggest. Our workflow automation software 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.
When business process automation software runs inside the same platform that holds your product data, orders, and channels, the math changes.
Three reasons your AI tools sit on a shelf. Tap any card to flip it.
Buying AI is easy. Operating workflow automation software is the hard part. Tap each card to see what breaks, then what we fix.
AI guesses copy from a store name and a category.
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 flipOur AI reads your live product information management record before it writes a word.
Every 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 backAI lives in one tab. Your data lives in seven.
The 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 flipOne agent reaches across product information management, order management, marketplace, and forms.
A 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 backAI writes. AI publishes. Nobody knows who approved what.
Brand 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 flipEvery AI action passes through a review queue with one-click revert.
Brand 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 backSix AI workflow automation modules. One platform. Click any tile.
Each module of this workflow automation software 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.
AI Content Assistance
Product copy, search engine optimization meta, alt text, and translations, all grounded in the live product information management record. Write once, publish everywhere.
- Product descriptions generated from live product information management attributes, not guesswork
- Search engine optimization meta and structured data written alongside the copy
- Translations grounded in locale-specific content rules and brand voice
confidence: 0.94 · brand_voice_checked · ready_for_review
AI Product Data Enrichment
Drop in a supplier sheet. The agent extracts attributes, classifies taxonomy, scores data quality, and queues the result for one-click approval.
- Attribute extraction from PDF files, sheets, and unstructured specification documents
- Confidence scores flag low-trust outputs for review before publish
- One product information management record drives direct-to-consumer, business-to-business, and marketplace listings simultaneously
extracted: 38 fields · 4 flagged · 34 auto-approved
AI Workflow Assistance
Smart approval routing, deadline prediction, and suggested next steps in queues. The agent watches every queue and surfaces what needs attention before it misses a deadline.
- Approval routing based on content type, confidence score, and role permissions
- Deadline prediction flags work that is about to slip before it does
- Suggested next steps surface in the queue so operators act without hunting
assignee: ops_lead · sla: 2h remaining · priority_raised
AI Marketplace Assistance
Channel-optimised listings, suppression rescue, repricing, and buybox intelligence. The agent generates titles, bullets, and descriptions from one product information management record, then monitors every listing for suppression the moment it happens.
- Channel-optimised content for Amazon, Google Shopping, direct-to-consumer, and business-to-business
- Suppressed listing rescue with one-click approval and audit trail
- Repricing rules with margin floors and competitive guardrails
cause: missing_UNSPSC · fix_queued · unsuppression_window: 4h
AI Operational Intelligence
Ask a question in plain English. Get the cause, not just the chart. Anomalies surface automatically. Weekly business narratives ship to executives without a business intelligence analyst.
- Natural language analytics across all platform modules
- Root cause analysis traces lost sales to the underlying breakage
- AI-generated weekly narrative for executive readouts
cause: 3 SKUs suppressed → ad_spend_paused → fix_ready
Automation Engine and Governance
No-code rule builder, event triggers, approval queues, audit log, and brand guardrails. Build the automation in one afternoon. The audit log answers who, when, and why for every action, with one-click revert.
- Visual rule builder: pick a trigger, pick conditions, pick actions across modules
- Full audit log with prompt, source data, approver, and timestamp on every row
- One-click revert on every AI action, with no engineering required
audit_row: #38291 · revert_armed · human_gate: on
You drive the AI agent. Step by step.
Pick one of three real commerce scenarios. Watch this business process automation software 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.
Same scenario. Two very different outcomes.
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 workflow automation does next. Flip the toggle.
One AI agent. Four different conversations.
Buyers, shoppers, sales representatives, and operators all talk to the same retail automation software. Each one gets the answer they need, grounded in the data they are allowed to see. Pick a persona to peek inside.
Re-order three months of inventory in one sentence.
A buying assistant that knows your contract pricing, your approval rules, and your last twelve orders.
The agent reaches everywhere your data lives.
Every Redefine module exposes ai workflow automation. Click a node to see what the agent does inside that integration.
A heavy-equipment dealer cut manual data work and made every part findable.
From a slow site with siloed inventory to a unified ecommerce automation platform that syncs enterprise resource planning, marketing, and storefront in real time.
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 a scalable ecommerce automation 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
Five questions buyers ask before they ship our AI.
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 ecommerce automation 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 business process automation software 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 retail automation software built in the no-code automation engine typically takes a single team afternoon to design, test, and turn on.
Looking for something else? Book a working session and ask in person
Know before you book.
We would rather turn away the wrong lead than waste your afternoon. Read both columns honestly.
- You have an active product catalog with 500 or more items and at least one live sales channel.
- Your operations or commerce team spends meaningful time each week on manual data tasks (copy, listings, routing).
- You can dedicate 3 to 4 hours per week of a product owner's time across the onboarding period.
- Compliance, brand voice, or accuracy requirements make ungoverned AI publishing a real risk you want solved.
- You sell across more than one channel (direct-to-consumer storefront, marketplace, business-to-business portal) and want a single agent across all of them.
- You are looking for a one-time setup with no ongoing governance or automation layer.
- Monthly revenue is under $10,000 or your catalog is still being built from scratch.
- You want every channel managed by one in-house person with no external platform integration.
- You have no existing product data structure or source-of-truth catalog for the AI agents to read from.
- You need everything live within 48 hours with zero onboarding time from your team.
Not sure? Tell us your situation and we will be straight with you.
See AI and automation in action.
A working session on your real data. Pick the workflow you hate the most. We show you the workflow automation software that retires it, end to end, in 30 minutes.
No commitment No pitch Working session, on your data
Tell us what your team does manually that retail automation software should handle.
Scoped before work starts. Your workflow automation software is priced line by line, with no commitment to receive a proposal.
Brief received.
We will review your workflow and send a scoped proposal within 3 business days. Expect a call within 48 hours to align on priorities.