Simulation tests possible outcomes. Optimization recommends the best option under constraints.

Commercial teams need both. Simulation helps teams compare scenarios before committing. Optimization helps identify the option that best fits objectives, constraints, budgets, risk settings, and available data.

Simulation asks: what could happen if we choose this path? Optimization asks: given our goal and constraints, which option should we choose?

The distinction matters. A team can simulate multiple promotion calendars, price paths, launch plans, delist options, or account responses. Optimization can then help identify the best fit for margin, revenue, volume, share, budget, account constraints, timing, and risk. Commercial decisions are made under uncertainty: a price change may protect margin but pressure volume, a promotion may create incremental demand or shift volume, a delist may simplify the portfolio but create substitution risk, and a launch may grow a segment or mostly cannibalize existing products. Simulation makes assumptions, ranges, risk, and business impact visible before a decision enters a plan, account conversation, calendar, or budget.