Resource Allocation, Supply Network Optimization and GTM Lab are working applications. ALLOCATE, DECIDE and PRIORITIZE remain reusable decision patterns for new domains with explicit alternatives, priorities, constraints, uncertainty, evidence and an inspectable recommendation.
Where should inventory be stored, how should demand be fulfilled, and how should the network adapt when warehouse capacity changes?
Inventory, inbound supply and fulfillment are often planned separately, which can increase logistics cost, create capacity bottlenecks and amplify disruption risk.
INPUTS
Inventory by warehouse and product class, geographically differentiated demand, inbound supply, warehouse and route capacity, storage compatibility, lead time and logistics cost.
EVALUATION
QDIP optimizes inventory placement, inbound allocation and fulfillment under hard network constraints, then re-runs the same model for unavailable and candidate warehouse scenarios.
OUTPUT
Recommended inventory placement, fulfillment and inbound allocation, executable transfers, scenario KPIs and candidate warehouse areas with traceable optimizer evidence.
QDIP is useful where comparison repeats and judgment still matters.
The strongest fit is a recurring decision where people repeatedly collect information, compare several viable options, apply rules or priorities, work within constraints and need to explain the choice afterwards.
Repeated
The same class of decision appears often enough that consistency matters.
Constrained
Budget, capacity, policy, timing or operational rules limit the feasible choices.
Explainable
Someone needs to understand and defend why one alternative was preferred.
02
WHAT CHANGES
From manual comparison to a governed decision path.
QDIP does not require replacing the people who know the domain. It gives their decision criteria an explicit structure, evaluates alternatives consistently and preserves the evidence behind the recommendation.
Before
Information is spread across spreadsheets, messages and individual judgment.
With QDIP
Inputs, alternatives, priorities and constraints enter one repeatable evaluation path.
After
The responsible person receives a recommendation, evidence and visible trade-offs.
03
BEYOND THE DEMOS
The demos are patterns, not the product boundary.
ALLOCATE applies where scarce resources compete. DECIDE applies where several actions must be compared under changing conditions. PRIORITIZE applies where many opportunities compete for limited attention. A new domain can reuse these patterns without redefining QDIP Core.
NEXT STEP
Which of your decisions matches these patterns?
If your exact domain is not shown, start from the decision structure rather than the industry label. Describe the repeated choice and we can determine whether ALLOCATE, DECIDE or PRIORITIZE is a useful starting point.
