Simulation & Analysis
Test Before You Commit.
Simulate Outcomes. Compare Options.
Every optimization run includes these tools. Change parameters, compare strategies, find what matters most. Your team explores before deciding.
What-If Analysis
Change One Parameter. See the Full Impact.
Your planner asks: what happens if we allow 6-hour delivery windows instead of 4? kint recalculates in seconds. 9 fewer routes, 21% lower cost. No guessing. No spreadsheet gymnastics.
Example
"What if we add a third shift?" Cost drops 12%, throughput rises 28%. The tradeoff is visible before you commit.
Scenario Comparison
Run Multiple Strategies Side by Side.
Fast delivery, low cost, or minimal emissions. Your team defines the strategies. kint optimizes each one independently. The results sit next to each other. Cost, time, quality, sustainability. Every tradeoff is quantified.
Example
Scenario A costs 14% more but delivers 2 hours faster. Scenario C saves 20% but requires 3 additional vehicles. Your team picks.
Sensitivity Analysis
Find the Lever That Matters Most.
Delivery window has 92% impact on total cost. Vehicle capacity: 78%. Speed limit: 18%. Your team knows exactly which parameter to negotiate, which constraint to relax, which lever to pull first.
Example
Fuel price sensitivity is 65%. A 10% increase in fuel cost raises total logistics spend by 6.5%. Now procurement has a target.
Multi-Objective Optimization
Cost or Speed? Both. With Tradeoffs Visible.
Your CFO wants low cost. Operations wants fast delivery. Sustainability wants low CO2. kint finds the Pareto frontier. The set of solutions where improving one goal necessarily worsens another. Your team sets the priorities.
Example
Weighted approach: 50% cost, 30% speed, 20% sustainability. Sequential approach: minimize cost first, then speed within 5% of cost optimum.
Built In
Not Separate Tools. Built-In Capabilities.
What-if analysis, scenario comparison, sensitivity analysis, and multi-objective optimization are not add-ons. They are part of every optimization run. Your team uses them naturally, without switching tools or exporting data.
In Practice
How Your Team Uses This
These capabilities work together. A typical workflow combines them in sequence.
Run the initial optimization. Get the baseline result with optimality gap.
Use sensitivity analysis to identify which parameters have the biggest impact.
Run what-if scenarios on the top 3 parameters. Quantify the tradeoffs.
Define 2-3 strategies based on findings. Compare them side by side.
Present the comparison to stakeholders. Every number is backed by math.
Choose a strategy. Implement it. Re-run when conditions change.
See These Tools With Your Own Data
Bring your data. We'll run a live session and show you what-if analysis, scenario comparison, and sensitivity analysis on your problem. 30 minutes.