01
Real-Time Inventory
Sub-second inventory visibility across stores, distribution centers, and 3PL partners — with automatic safety-stock and replenishment triggers.
Solutions · RetailGENEDATA / 01
Every channel.One connected business.
Connect inventory, demand, and customer activity to coordinate decisions across stores, digital channels, and supply chains.
Shared context · Lineage · Governance
Connected
Your sources
Store transactions
Digital commerce
Inventory events
Connected intelligenceRetail intelligence
Governance
Business impactDemand & replenishment
Shared contextLineageGovernance
02
Demand Forecasting
Hierarchical ML forecasts at SKU × store × week granularity, with calendar, weather, and promo signals — re-trained nightly with full lineage.
03
Loyalty + 1:1 Marketing
Unified customer profile across loyalty, e-comm, and store — feeding clienteling apps, personalized offers, and lifetime-value models.
Built On
The products behind this solution.
Retail margin erodes in the gaps between systems, so the value is in the join rather than in any single capability.
GeneFlow
Unifies POS, e-commerce, marketplace, wholesale, and 3PL feeds into one inventory and customer record.
Learn moreGeneCatalog
Governs the customer profile, honouring consent and suppression at activation rather than after the fact.
Learn moreCortex SQL
Serves one inventory position and one set of forecasts to merchandising, supply chain, and finance.
Learn moreCortex AI
Runs hierarchical demand forecasting, price elasticity, and personalisation off that shared record.
Learn moreIndustry use-case map
Retail & Consumer workflows across one governed operating model.
These reference workflows connect the business decision to the data, controls, platform surfaces, and people required to operate it in production.
Retail & ConsumerReference workflow
Governed customer 360
Resolve customer, household, account, loyalty, service, and commerce identities across channels while preserving consent and source confidence.
How the work moves
- 01
Connect the signal
POS, commerce, and order events · Customer, loyalty, and service data · Campaign, behaviour, and consent events
- 02
Apply control
Data quality contracts · Privacy and minimization · End-to-end lineage
- 03
Build and deliver
GeneFlow Engineering · GeneCatalog & Knowledge · Analytics & Reporting
- 04
Decide and act
One trusted customer context for service, analysis, and activation.
Participating roles
Platform surfaces
Business outcome
One trusted customer context for service, analysis, and activation.
Explore the full industry solutionUnified Commerce Data
Every channel in, every decision out.
Retail margin erodes in the gaps between systems — the store that shows stock the warehouse already allocated, the promotion the forecast never saw. Landing every channel on one substrate is what lets replenishment, pricing, and personalization read the same position.
How It Runs
Unify, forecast, allocate, personalise.
The sequence runs continuously rather than as a nightly batch, which is what makes intra-day reallocation possible at all.
Unify every channel
POS, e-commerce, marketplace, wholesale, and 3PL feeds land on one model with a single definition of on-hand and on-order.
Forecast hierarchically
Predict at SKU × store × week with calendar, weather, and promotion signals, reconciled up the hierarchy so totals agree.
Allocate against the forecast
Safety stock and replenishment trigger from predicted demand rather than a static reorder point set last season.
Personalise from one profile
Clienteling, offers, and lifetime-value models read the same customer record that loyalty and e-commerce write to.
What You Get
The decisions this actually changes.
Retail data problems are rarely about volume. They are about latency and disagreement between systems.
Single inventory position
One on-hand number across stores, DCs, and 3PLs, so omnichannel promising is not an estimate.
Hierarchical forecasting
SKU, store, region, and chain forecasts reconciled so plans at each level sum to the level above.
Markdown optimisation
Price elasticity estimated per SKU and location to time markdowns against sell-through rather than a calendar.
Intra-day reallocation
Move stock between locations during the day based on live demand instead of an overnight allocation run.
Customer 360
One profile spanning loyalty, e-commerce, and in-store, with consent honoured at activation time.
Shrink and waste analysis
Attribute loss to location, category, and shift to separate theft, spoilage, and process error.
Who Benefits
Who this is for.
Merchandising, supply chain, and marketing have historically argued from three incompatible reports.
Merchandising
Time markdowns on sell-through
Set price moves from per-SKU elasticity and live sell-through rather than a fixed promotional calendar.
Margin recovered from unnecessary early discounting.
Supply Chain
Reallocate before the stockout
Spot demand shifting between locations during the day and move stock while it still affects the sale.
Fewer lost sales sitting in the wrong store.
Marketing / CRM
Personalise on what is in stock
Drive offers from the same inventory position the store sees, so promotions do not push unavailable product.
Campaigns that the supply chain can actually fulfil.
What Changes
What changes with one commerce model.
Most retail stacks agree overnight and disagree by midday.
| Dimension | Before Genedata | With Genedata |
|---|---|---|
| Inventory view | Per-system positions reconciled nightly | One position, updated in seconds |
| Forecasting | Separate models per channel that do not reconcile | Hierarchical forecasts that sum consistently |
| Replenishment | Static reorder points reviewed seasonally | Triggered from live predicted demand |
| Markdowns | Calendar-driven and uniform | Timed per SKU and location on elasticity |
| Personalisation | Offers unaware of local availability | Driven by the same live inventory position |
Store × Day × SKUSKU Granularity
IncrementalInventory Refresh
POS · DTC · Marketplace · WholesaleChannels Unified
ConfigurableForecast Horizon
The next step
Margin lives in the seams — Genedata removes them.
Genedata Retail collapses inventory, planning, pricing, and CRM data into one substrate — so merchandising, supply chain, and marketing teams work from the same numbers and ship insight to stores in hours, not seasons.
FAQ
Retail, answered.
What merchandising, supply chain, and CRM teams ask before consolidating.
Can we get a single inventory position across channels?
Yes, and that is usually the first thing that pays for itself. POS, e-commerce, DCs, and 3PL feeds resolve to one on-hand number, so omnichannel promising stops being an estimate.
How current is the inventory view?
Sub-second. That is what makes intra-day reallocation possible — moving stock while demand is still shifting rather than in an overnight allocation run.
Do forecasts reconcile across levels?
Yes. Forecasts are produced at SKU x store x week and reconciled up the hierarchy, so store, region, and chain plans sum consistently rather than being three separate models that disagree.
How is customer personalisation kept compliant?
Consent and suppression are enforced at activation time from the governed profile, so a customer who opted out is excluded at the point the audience is built, not filtered afterwards.
Can this drive markdowns?
Price elasticity is estimated per SKU and location, so markdowns can be timed against actual sell-through rather than a fixed promotional calendar.
Related content
Architecture
Unified Commerce Model
Inventory, customer, and forecast schema across channels.
CatalogForecast Model Library
Hierarchical demand models with calendar, weather, and promo signals.
GuideConsent-Aware Activation
Honouring preferences at the point an audience is built.
RelatedMarketing
Customer 360, attribution, and activation in depth.
Take the next step
Start with inventory.
Resolve one category to a single position across every channel in a working session.