SHAiPE: the LTPlabs framework
Set the Decision
Define the strategic question
market entry, expansion, consolidation, footprint redesign, channel mix
Set the decision level
market, region, city, catchment area, store / site, channel
Define the planning horizon
mid-term (1–3 years), long-term (strategic scenarios)
Highlight what matters
Align on success metrics
incremental demand, revenue, margin, ROI, service coverage
Define strategic and operational constraints
investment budgets, capacity, brand positioning, regulatory limits
Align decision ownership and governance across strategy, operations, and finance
Augment with AI
Combine internal and external data to estimate baseline demand, incremental demand and cannibalization
- DataInternalHistorical salesHistorical prices and portfolioExternalDemographics & macroeconomicsHistorical competitor dynamicsAI ModelResultsBaselineIncrementalsDemand flowsExplainability
Simulate what-if scenarios to optimize decisions, maximizing long-term market impact, making trade-offs between growth, profitability, coverage and risk explicit
Prototype your solution
Build a prototype simulation & planning interface for targeted scenarios
Run back tests to validate uplift, cannibalization and assumptions
Expand to scale
Productize the solution into a decision tool for leadership and category teams, training them to fully understand how to manage its inputs and outputs.
Integrate with enterprise data & planning systems to enable repeatable scenario runs
Nutshell
What this means for your business
Reduced risk in market entry, footprint changes, and network redesign
Clear visibility on cannibalization, competitive response, and demand shifts
Faster, more efficient evaluation of growth scenarios, enabling confident decisions in minutes/days, not weeks/months
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