One Operating System for Commerce Intelligence.
Enterprise commerce AI is fragmented - different tools for different activities and none of them talk to each other. The Intelligent Commerce Suite collapses that mess into one operating system for commerce intelligence.
It is built as three capability pillars, orchestrated by the Commerce Agent Studio, the conversational layer every business user talks to.
Commerce Agent Studio
The conversational layer every business user actually talks to.
A single conversation can pull a policy from the Institutional Brain, call a prediction model, run a classifier, and trigger an API action - without the user knowing or caring which is which. They describe what they need, in plain English.
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Conversational layer
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Workflow engine
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AI-generated dashboards
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Agent Store
Three AI personas that already understand your business.
A Domain Expert pre-loaded with industry knowledge. An Institutional Brain that learns your specific policies, brand rules, and pricing logic. An Enterprise Architect that maps your technical landscape. Grounded in your real business - not generic patterns.
100 ready-to-deploy AI models across 10 commerce domains.
Customer, product, pricing, demand, marketing, search, risk, operations, service, B2B. Each model knows what data it needs and how to find it in your existing systems. Connect your data once - the platform handles training, validation, and deployment.
12 language models trained for retail's hardest text tasks.
Routing tickets, categorizing reviews, extracting product details, parsing return reasons. Plus 15 generation workflows for content, copy, and conversation. Trained on your own data, so they speak your business's actual language.
Enterprise Systems
Data Warehouse
Commerce Platform
ERP / OMS
CRM
Marketing Stack
Not a Framework. A Product.
Everything that's pre-built and ready on day one - before you've written a single workflow.
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ML Model Specifications
10 commerce domains, auto-mapping to your data warehouse
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Commerce Language Models
Ticket routing, return reasons, review sentiment, product attribute extraction
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Agentic Workflows
Custom build workflows across business roles like merchandiser, marketer, service, planning, operations, executive
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AI Intelligence Personas
Domain Expert, Institutional Brain, Enterprise Architect
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Total AI Capabilities
Plus the conversational platform for users to build their own workflows on top.
This is what's running on day one - not what you build over six months.
Five Core Values That Differentiate.
The Intelligent Commerce Suite connects to data warehouses, not commerce engines. That means it works on any commerce platform you already run. Your commerce stack is a data source, not a dependency.
When the review-sentiment model detects "runs small," that single signal feeds the return predictor, triggers a listing update, adjusts the size advisor, and anticipates the support ticket spike. One signal, four systems, one connected response.
Every model, workflow, and automated action is constrained by the Institutional Brain's understanding of how your business actually operates - your VIPs, your brand voice, your pricing rules, your service tiers.
Not dashboards configured by analysts. The merchandiser describes what they need; Commerce Agent Studio builds, tests, and deploys it. The organization's automation library grows through the Agent Store - across teams, over time.
We build the commerce-specific IP - the model specs, the training contracts, the business-rule integration - that makes the underlying infrastructure work for retail. We don't pretend to rebuild what specialized vendors already do well.
Every Role Gets Their Own Advantage
An illustration of personalized dashboards, role-specific workflows, and the models that matter to their decisions - drawing from the same unified intelligence underneath.
Merchandiser /Buyer
Three hours on Monday morning pulling reports from three systems. Finds the stockout on Wednesday - two days too late.
Dashboard surfaces the stockout risk Monday at 6 AM with a draft PO. Approved by 8:15.
Marketing Manager
Learns the lapsed-premium segment underperformed two weeks after the campaign recap. No action taken.
Flagged the same morning. Three alternative subject lines generated. Re-send by noon.
Customer Service Lead
Product issue discovered from a CSAT dip ten days post-launch. 200 unhappy customers later.
Ticket pattern detected on day 2. FAQ and agent training auto-generated. Merchandising alerted. CSAT never dips.
Planning / Demand Analyst
Two-week Excel cycle. Single-number forecasts. Promotion lift is a guess.
Forecast refreshes nightly. Confidence intervals on every number. Promotion lift modeled before commitment.
E-commerce / Digital Director
Conversion dipped yesterday. Spends half a day investigating. Two tickets filed. One-week resolution.
Dashboard explains the dip before the morning meeting. One approval needed.
Guardrails Designed for Business-Outcome Safety.
Every pricing recommendation, every generated description, every churn prediction, every automated action passes through guardrails designed for commerce - not generic AI safety, but business-outcome safety.
Brand & Content
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Voice and tone enforced automatically
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Only approved claims make it through
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Competitor mentions blocked
Pricing & Promotions
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Margin floors that can't be crossed
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Catches hidden bias in pricing models
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Stays within MAP requirements
Customer Treatment
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Frequency limits on customer contact
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No manipulative UX patterns
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Protections for vulnerable customers
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Customer data never crosses the line
Approvals & Oversight
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Three-layer autonomy: notify, approve, or run autonomously-your call
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Big-money actions escalate automatically
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Emergency stops for any automation
AI Quality & Safety
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Catches model drift, retrains automatically
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Low-confidence calls flagged for review
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Auto-stop on error spikes
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New models can run in safe mode first
Regulatory
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FTC advertising rules enforced
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GDPR / CCPA rights handled automatically
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Region-specific rules respected
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Decisions are auditable, end to end
Configured in business language. Tested with real content. Enforced everywhere.
Stop waiting for the big agentic commerce transformation project to land.
Start with the platform that's already running.
Talk to an Expert