01
A truthful inventory and order promise
Reconcile product, availability and fulfilment state across stores, warehouses and digital channels.
Industry / RC
Commerce systems that connect the customer promise to operational reality.
Retail and consumer businesses must coordinate demand, inventory, pricing, fulfilment, service and customer data across channels that expose inconsistency immediately.
Operating context
Technology has to fit the institution around it.
Retail and consumer businesses must coordinate demand, inventory, pricing, fulfilment, service and customer data across channels that expose inconsistency immediately.
The technology agenda should reduce the gap between what is promised and what the operating network can deliver—not add another isolated engagement tool.
Operating agenda
Priorities that shape the architecture.
We translate operating risk and commercial objectives into explicit system boundaries, evidence and decision ownership.
02
Personalisation with commercial and privacy controls
Connect recommendations to measurable customer value, margin and explicit data purpose.
03
Composable commerce without fragmented ownership
Define stable product, order, customer and promotion domains before adding channels.
Engineering contribution
Where Root Digit contributes.
Each engagement is scoped around a real operating decision, a controlled technical boundary and evidence that leadership can review.
RC.1
Commerce platform engineering
Composable services across catalogue, cart, order, payment and service.
- Domain APIs
- Order orchestration
- Payment and exception flows
RC.2
Inventory and fulfilment intelligence
Reliable availability, allocation and promise decisions.
- Inventory event models
- Demand forecasting
- Fulfilment optimisation
RC.3
Customer and decision systems
Governed data and models for relevance, service and retention.
- Customer data products
- Recommendation systems
- Service decision support
RC.4
Store and product operations
Connected systems for workforce, assets and physical experience.
- Store IoT
- Computer vision
- Task and exception workflows
Control plane
Controls designed with the system.
Assurance is part of the architecture and operating model—not a review added after delivery.
01
Margin guardrails
Optimisation accounts for cost, inventory and promotion constraints, not conversion alone.
02
Consent and purpose
Customer data use is visible, limited and removable across channels.
03
Order integrity
Reservations, payments, fulfilment and refunds reconcile through explicit states.
04
Model experimentation
Tests protect customer cohorts and measure incrementality rather than correlation.
Practical entry points
Start with one decision that matters.
01
Repair the inventory promise
Reconcile one high-value product or channel from event to customer commitment.
02
Prove one decision model
Measure incremental value and margin effect under a controlled test.
03
Decompose one commerce domain
Create a stable service boundary around a high-change capability.
Continue exploring
Related capabilities and evidence.
Industry conversation