Growth and revenue
Compare sales direction by channel, product, category, geography, and period to see where momentum is building or slowing.
Turn commerce data into better decisions.
Connect products, channels, inventory, orders, returns, and available commercial inputs. Build the view you need, receive it when it matters, and use AI-assisted analysis to understand what deserves action.
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ProductsChannelsOrders
One connected decision layer
Answers for every part of the commerce operation.
A sales chart alone cannot explain whether growth is profitable, fulfilment is healthy, or inventory is in the right place. O2M keeps each signal close to its operational context.
Profitability context
Bring selling price, fees, discounts, shipping, returns, and available cost inputs together for more useful margin analysis.
Inventory decisions
Review stock cover, sell-through, ageing, velocity, availability, and allocation before replenishing or redistributing inventory.
Order performance
Understand order volume, status movement, cancellations, fulfilment speed, delivery outcomes, and exceptions.
Returns and reconciliation
Examine return patterns by SKU, channel, reason, location, or period and bring discrepancies into focused review views.
Catalogue quality
Measure listing completeness, missing attributes, rejected products, inactive offers, content gaps, and channel readiness.
Custom analytics
Build around the question—not a fixed dashboard.
Your metrics, definitions, filters, and decision cadence can be configured around the way your business operates and the data available through your O2M setup.
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Choose dimensions such as channel, brand, category, product, SKU, location, order status, fulfilment method, or date.
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Combine filters, comparison periods, saved segments, and business-specific definitions.
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Create calculated views from the commercial and operational inputs available in your O2M setup.
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Save role-specific dashboards for founders, finance, catalogue, inventory, and operations teams.
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Drill from a summary into the products, orders, or channel records that explain the change.
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Export focused datasets for finance, planning, audits, and deeper offline analysis.
Report subscriptions
The right report, delivered before someone asks.
Turn saved analytics into a repeatable communication rhythm. Teams can receive focused information without manually rebuilding the same report.
Your schedule
Choose daily, weekly, monthly, or business-specific delivery timing.
Your exact view
Subscribe to a saved dashboard, filtered report, channel, category, or exception list.
The right audience
Deliver different summaries to leaders, finance, catalogue, and fulfilment teams.
Useful delivery
Receive concise report summaries and links or files through configured delivery channels.
Advanced analytics
Move from reporting what happened to understanding why.
Trend and period analysis
Compare week-over-week, month-over-month, seasonal, campaign, and custom periods without rebuilding the report.
Cohorts and segmentation
Group products, channels, customers, locations, or orders into useful segments and compare their behavior.
Targets and variance
Place actual performance beside goals, budgets, minimum margins, service levels, or inventory thresholds.
Anomaly detection
Surface unusual changes in sales, stock, returns, cancellations, listing status, or fulfilment for investigation.
Root-cause exploration
Move from a headline change into the channels, categories, SKUs, locations, or order states contributing to it.
Scenario support
Compare possible allocation, assortment, pricing, or replenishment choices using available historical and operational context.
AI-assisted recommendations
A decision partner—not a black box.
O2M can help summarize patterns, prioritize investigation, and propose next steps from connected data. Recommendations support—not replace—your team’s commercial judgment and approval controls.
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What changed?
Summarize meaningful movement and highlight the products, channels, or processes most responsible.
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What needs attention?
Prioritize stock risks, listing gaps, unusual return patterns, delayed orders, and other exceptions.
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What could we do next?
Suggest actions such as reviewing allocation, replenishing fast movers, improving weak listings, or investigating margin leakage.
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Why this recommendation?
Show the signals and supporting records behind a suggestion so your team can validate it before acting.
Report library
Start with a useful view. Customize from there.
Executive commerce overview
Channel performance
Product and SKU performance
Category and brand analysis
Inventory ageing and velocity
Stock cover and replenishment
Order status and fulfilment
Cancellation analysis
Returns and reason analysis
Listing health and readiness
Channel profitability context
Custom operations report
Capabilities depend on connected data. Metric availability, recommendation quality, delivery formats, and analysis depth depend on your integrations, configuration, permissions, and data completeness.
Make every report lead to a clearer next step.
Tell us which decisions your team needs to make, which systems hold the data, and how each audience wants to receive it.
Design your analytics setup