AI-Native Analytics
Your data already knows why revenue dropped. Your analytics should too.
Ask a question in plain English. Redefine's AI surfaces the root cause across every module: catalog, listings, inventory, pricing, and orders, then hands you a ranked action list with one-click execution.
29.3% of conversions traced to analytics
No query language required
Cross-module attribution
The Problem With Conventional
Analytics
You can see the number is down. You can't see why.
The Old Way
- Revenue drops on Tuesday. You open four tabs in three tools to start piecing together what happened.
- Your business intelligence dashboards show what happened. They never explain why it happened or what to do next.
- Identifying a root cause takes a data analyst, a query, and a 48-hour wait. The window to act has already closed.
- Each module: catalog, listings, inventory, pricing, reports in isolation. Cross-module causes stay invisible.
The Redefine
Way
- Type "why did business-to-business revenue drop last week?" and the AI traces the root cause across catalog, listing, and inventory simultaneously.
- Every Monday, an AI-written business narrative arrives: what changed, why it changed, and what three actions to take this week.
- AI attribution traces a lost sale back through catalog gap, listing suppression, stockout, and pricing misalignment, one linked chain.
- Ranked prescriptive actions appear directly below the insight. Click once to execute in the same platform, no copy-paste into a separate tool.
Natural Language Insight Engine
Ask the question your dashboard never answers.
Select a real commerce question below. Watch the AI scan every module, surface the root cause chain, and generate ranked actions, ready to execute in one click.
Sample
queries
Click any query to explore it. The engine cycles automatically when this section is in view.
Core Capabilities
Every insight your team needs. Zero extra tools.
Natural Language Queries
Ask any commerce question in plain English. The AI scans Product Information Management, Order Management System, marketplace, catalog, and pricing data simultaneously and returns a plain-English answer with source attribution.
No query language required
AI Weekly Business Narrative
Every Monday your team receives an auto-written summary: what changed across all modules, why it changed, and a ranked list of recommended actions for the week ahead.
Delivered to inbox or dashboard
AI Attribution Modelling
A lost sale is traced back through every contributing factor: catalog gap, listing suppression, stockout signal, pricing misalignment. You see the full causal chain, not just the outcome number.
Full causal chain, one view
Prescriptive AI Actions With One-Click Execution
After identifying a problem, the AI generates a ranked action list: reprice, restock, re-sync listing, update catalog attribute. Each action is executable in the same platform. No switching to a separate tool. No copy-paste. The insight and the fix live in the same workflow.
Ranked by impact
One-click execute
Audit trail logged
Anomaly Detection and Alerts
The AI continuously monitors for statistical anomalies across revenue, margin, order volume, and listing health. When a signal emerges, it alerts you with context, not just a red number.
Context-aware alerts
Role-Specific Dashboards
Executive summary, operations drill-down, marketplace health, and marketing attribution. Each role sees the key performance indicators most relevant to their decisions, pre-configured and updated in real time.
Executive · Ops · Marketplace
Scheduled Reports
Set weekly or monthly delivery for any report. Receive it by email, Slack, or in-platform, in the format your team actually uses.
Threshold Alerts
Define the key performance indicator thresholds that matter to your operation. When a metric crosses a boundary, the alert arrives with root cause context attached, not just a number out of range.
Data Exports
Export any dataset as comma-separated values, JSON, or direct to BigQuery. All exports include dimension metadata so downstream tools receive clean, normalized data, not raw rows.
Who Uses These Insights
Analytics built for the people who act on it.
Ecommerce Leader
Wakes up to a Monday narrative that summarizes every material change from the prior week. Makes decisions before the first team standup, without opening a business intelligence tool.
Operations Lead
Monitors order service-level agreement adherence, return exception rates, and fulfillment anomalies. When a deviation appears, the AI has already traced it to a supplier delay or warehouse routing rule before the operations team opens a ticket.
Marketing Team
Sees campaign attribution tied to actual order conversion, not just ad click-throughs. Identifies which campaigns created product demand versus which simply harvested it from organic search.
Executive
Reviews a single consolidated executive dashboard: revenue, margin, Net Promoter Score proxy, and fulfillment velocity, across every business unit, brand, and region without toggling between tools.
Marketplace Manager
Tracks listing health, buy-box win rate, and channel-specific conversion across all active marketplaces in one view. Receives daily alerts when suppression risk or pricing drift is detected before it compounds.
Sample output from Redefine AI analytics: role-filtered executive view.
Proof
Analytics that close the loop on revenue.
##
72×72
Client
Narragansett Beer
Beverage Direct-to-Consumer Ecommerce
What they do
A legacy beverage brand operating a growing direct-to-consumer
ecommerce channel, modernizing its digital ecosystem to improve decision-making and
increase revenue.
The Problem
Disconnected systems across point-of-sale, ecommerce, and customer
data limited visibility into performance and customer behavior. Marketing lacked
advanced segmentation and predictive insights to capitalize on demand.
Solution
Power BI was integrated with Toast, Shopify, and the customer
management platform to centralize data and provide real-time reporting, predictive
insights, and trend forecasting, giving the team a unified analytics layer over all
commercial operations.
Result
$0
Additional revenue generated in the first month after
analytics unification. Email became a primary growth channel, contributing
approximately 50% of monthly revenue once attribution was accurate.
- 50% of monthly revenue attributed to email via unified analytics
- Real-time cross-platform reporting: Toast, Shopify, and customer relationship management unified
- Predictive trend forecasting enabled proactive campaign planning
Platform Architecture
One platform. Ten modules. Zero data gaps.
AI analytics on a unified platform has an unfair advantage: the data model is already consistent. No extract-transform-load pipeline, no normalization lag, no conflicting metric definitions across tools. AI reasons over a single truth.
Product Information
Management
Product Data
Order Management System
Orders
Marketplace
Channel Data
Commerce
Orders and Conversion Rate
Inventory
Stock Signals
Why this is
impossible for point solutions
Business intelligence tools built on top of separate platforms must constantly reconcile mismatched data models. Every pipeline introduces lag. Every join introduces ambiguity. The AI never has a complete picture, it always has a partial one.
Redefine's
native data advantage
Every module writes to the same data layer with the same taxonomy. An order references the exact product record in Product Information Management, the exact listing in the marketplace module, and the exact inventory node in the Order Management System. Attribution is structural, not inferred.
The execution
loop
AI identifies the insight. AI generates the action. You click approve. The action executes in the same platform, updates the same data layer, and the AI monitors the outcome. The loop is closed before you open a second tab.
Why Redefine Is Different
Other tools show you the dashboard. Redefine shows you the answer.
Cross-module, not module-isolated
Standard analytics tools report on one data source per vendor. Redefine's AI reasons across Product Information Management, Order Management System, content management system, marketplace, and commerce simultaneously. A dropped revenue metric can be traced to a catalog gap, a listing suppression, and a pricing rule, all in one response.
10 modules. 1 AI layer.
Prescriptive, not descriptive
Most business intelligence tools stop at the number. Redefine's AI continues: it generates a ranked list of actions, estimates the impact of each, and lets you execute the top action in a single click, without leaving the analytics view to open a separate workflow tool.
Insight to action in one session
Governed, not ungoverned AI
Every AI query, every recommendation, and every one-click action is logged with an audit trail. Role-based access controls ensure the right people see the right data. AI governance is native, not bolted on after the fact.
Built-in AI governance
Frequently Asked Questions
Your questions about AI analytics, answered.
No. Natural language queries are designed for operators, marketers, and executives, not analysts. You type a question the way you would ask a colleague. The AI interprets the intent, runs the analysis across the relevant modules, and returns a plain-English answer with the supporting data. No query language, no data preparation, no analyst dependency.
Business intelligence tools visualize data you already know how to interpret. They require someone to build and maintain the dashboards, and when something changes, they show you the change but not the cause. Redefine's analytics are native to the platform. The AI understands the data model structurally, not as a report layer. It explains root causes, generates ranked actions, and executes them. No dashboard builder required. No separate execution tool needed after the insight.
The AI analytics layer reads from all native Redefine modules in real time: Product Information Management product data, Order Management System order and fulfillment data, marketplace listing health and channel performance, content management system content performance, commerce conversion and pricing data, and inventory stock levels. All data is normalized on a single schema, there are no cross-tool reconciliation delays. For brands with external data sources, BigQuery integration and application programming interface exports are supported.
Each week, the AI generates a written business narrative covering what changed across all modules versus the prior week, the most likely explanations for the changes, and a prioritized list of recommended actions. It is delivered to configured recipients by email and also accessible in-platform. Role-based content filtering means executives receive a summary view while operations leads receive a detailed breakdown, the same narrative, calibrated for the audience.
By default, every prescriptive action requires human approval before execution, a single click in the platform. For lower-risk, high-frequency actions (for example, re-syncing a listing attribute or restocking a reorder point), you can configure auto-execution rules within defined thresholds. All actions, manual or automated, are logged in the audit trail with the AI's reasoning attached. Governance controls are set per role, per action type, and per business unit.
No replacement is required. Redefine exports normalized data to BigQuery, comma-separated values, and application programming interface endpoints compatible with most business intelligence platforms. Teams that want to keep their existing dashboards for specific reporting needs can continue to use them; they simply receive cleaner, more reliable data from a single normalized source. Most teams find that as native AI analytics answers more of their daily questions, dependency on separate business intelligence tools reduces naturally over the first two to three quarters.
Is This Right For You?
A straight answer on who this fits.
Good
fit
- Your team spends more than 4 hours per week reconciling metrics from multiple tools
- You operate across multiple channels (direct-to-consumer, business-to-business, marketplace) and need cross-channel attribution
- Revenue anomalies take more than 24 hours to diagnose because data lives in separate systems
- Leadership wants a weekly business summary without involving a data team to produce it
Probably not the
right fit
- You operate a single channel with no plans to expand: existing analytics tooling is sufficient at this scale
- Your data lives entirely in a custom-built system with no external integrations: a scoping call is needed first
- You need a standalone business intelligence visualization tool for custom report design: we do not replace Tableau or Looker Studio for advanced data exploration
Not sure? Tell us your situation and we will be straight with you.
Talk to our team →Get Your Analytics Scoped
Stop reporting on what happened. Start knowing why.
Tell us what your team is doing manually that a system should handle. We will review your situation and send a scoped proposal within 3 business days.
Related
capabilities
AI Content Assistance
AI Product Data Enrichment
AI Operational Intelligence
Automation Engine
Analytics and Reporting Hub
Executive Dashboards
Commerce Reporting
Sample
Output: Redefine AI Weekly Business Narrative
Brief received.
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