Demand & Fulfilment Intelligence
A demand-management platform and mapping interface connecting forecast demand to fulfilment capability across a regional banking portfolio — so gaps surface while there is still time to respond.
Making committed demand and actual fulfilment capacity visible against each other, early enough to act.
Demand and fulfilment are modelled together so committed work and available capability can be read against each other rather than reconciled by hand.
A mapping interface makes the relationship between demand categories and fulfilment capability explicit and adjustable, instead of buried in spreadsheet formulas.
Views are built around the operational decisions being made — where the gap is, how urgent it is, and what can still be changed.
Demand forecasts and fulfilment capacity were maintained separately, in different formats, by different teams. The gap between what had been committed and what could actually be staffed only became visible when it was already a problem.
Reconciling them meant manual spreadsheet work each cycle, which made the picture out of date almost immediately and impossible to interrogate.
A demand-management platform and mapping interface connecting forecast demand to fulfilment capability across a regional banking portfolio — so gaps surface while there is still time to respond.
Common in operations: the data exists, but in parallel spreadsheets nobody can read against each other in time. Modelling the relationship is usually the whole fix.
The constraint that shaped it
The mapping had to stay owned by the business
The demand-to-capability relationship changes constantly and is a business judgement, not a technical one. Encoding it in application logic would have made the system wrong within weeks — so the mapping is explicit, visible and editable by the people who own it.
Model the relationship, don't hardcode it
Keeping the mapping as configurable data rather than logic is what allows the platform to stay accurate as the business changes.
Lead time over precision
An approximate gap surfaced early is worth more than an exact one surfaced late — the design optimises for how soon a problem becomes visible.
- Analysed the existing spreadsheet-based process with the operations team
- Designed the demand-to-fulfilment model and mapping interface
- Built the application and mapping UI
How We Solved the Problem
Demand ingestion
Forecast demand across the portfolio brought into a structured model rather than parallel spreadsheets.
Capability mapping
An explicit, adjustable mapping between demand categories and fulfilment capability, visible to the people who own it.
Gap analysis
Committed demand read against available capability to surface shortfalls early, with enough lead time for the response to matter.
Operational views
Interfaces shaped around planning decisions rather than reporting cycles.