Decisions from evidence, not from instinct.
Analytics that sit outside the platform always disagree with it. This engine reads the same records your orders, catalogue and customers already live in, so there is one version of the number rather than a monthly argument about whose is right.
The reports a retail business actually runs on.
Not a blank dashboard builder. The questions merchandising and finance ask every week, answered from live platform data.
Cohort and retention
Track how customers acquired in one period behave over the next twelve, so acquisition spend is judged on repeat value rather than first order.
Funnel analysis
See where the path to purchase loses people, by device, channel and category, rather than only seeing the conversion rate.
Category and SKU profitability
Margin after discounts, returns and fulfilment cost, so the best-selling product and the most profitable one stop being confused.
Channel performance
Compare storefront, marketplace, POS and app on the same basis, using one order book rather than four exports.
Segmentation insight
User segments built from behaviour, feeding straight back into CRM campaigns and recommendation surfaces.
Scheduled reporting
Reports delivered to the people who need them on the cadence they need, instead of waiting for someone to log in and export.
Three questions this answers well.
Cohort analysis compares acquisition cost against realised repeat value over time, rather than judging a channel on first-order revenue.
- Repeat rate by acquisition cohort
- Revenue per cohort over time
- Channel compared on realised value
- Discount impact on repeat behaviour
Profitability is calculated after discounts, returns and fulfilment cost, which frequently reorders the list you thought you knew.
- Margin after returns and fulfilment
- Return rate by SKU and category
- Stock turn against holding cost
- Discount depth versus volume lift
Funnel analysis breaks the path to purchase down by device, channel and category so the fix is specific rather than a redesign.
- Drop-off by funnel stage
- Segmented by device and channel
- Search and category performance
- Checkout abandonment reasons
The things buyers actually ask
It complements it. Google Analytics and Tag Manager are integration-ready for behavioural web data. This engine reports on your orders, catalogue, customers and margin — data that never leaves the platform.
It reads the same records the platform writes, so reporting reflects the live order book rather than an overnight export that may already disagree with it.
Yes. Reports can be scheduled and delivered to named recipients on a set cadence, which is usually how finance and merchandising prefer to consume them.
What this connects to
Every module runs standalone and every module talks to the kernel. These are the ones most often deployed alongside it.
Order Management
The full order lifecycle, across every channel and warehouse.
Open page → Platform · CRMCustomer Relationships
Every interaction, order and ticket against one customer record.
Open page → Platform · RECRecommendations
Personalised product surfacing across the customer journey.
Open page →See your numbers reported from one source.
A working walkthrough with your catalogue, your order flow and your questions. No slideware.