Optimal Applications find the single best decision — across procurement, scheduling, routing, pricing and more. You do the thinking. Optimal does the math.
Optimal uses AI where it helps — and corrects it with mathematical optimization so the answer is proven, not guessed.
Optimization is about goals (usually min cost or max profit), variables (what can change), and constraints (the rules). We map yours.
A tailored optimization engine — augmented by AI where it helps, corrected by math where it matters — searches every valid choice and returns the single best.
Answers land in an interface your team already understands. Savings — or profit improvement — show up on the P&L.
If it can be measured, it can be optimized. These common decisions are where Optimal customers see savings first.
Buy the right things, from the right suppliers, at the right time.
How linear programming solves this →Every shift, machine, and route — assigned optimally.
How linear programming solves this →Lowest-cost delivery across fleets, lanes, and modes.
How linear programming solves this →The mix that maximizes margin, not just revenue.
How linear programming solves this →Right stock, right place — even with complex bills of materials.
How linear programming solves this →Where to source, produce, warehouse, and ship from.
How linear programming solves this →A purpose-built interface — especially the database architecture — lets Optimal manage the data and mathematics for larger, more comprehensive models than other decision-support tools can handle. Bigger models capture more of the real business, and that's where the extra savings live.
What is linear programming? The math behind every decision above — decision variables, objectives, constraints, and a worked example — in plain English.
Read the guide →From single-site operators to global supply chains — Optimal Applications adapt to your data, constraints, and objectives.
Move the slider, pick a decision area, and see a defensible estimate — based on savings rates Optimal customers actually achieve. No email required.
New to this? How linear programming turns each decision area into savings →
Aggregate figures from Optimal customer deployments. Under NDA, no specific customer information is disclosed — but anyone can prove their own savings.
Millions in savings across multiple plants and hundreds of SKUs — annual subscription cost paid back in a few days.
“Our planners were able to use Optimal to identify purchases and inventory utilization that would otherwise never have been tried.”
Increased load utilization of over 100 trucks to nearly 100%.
“Optimized in minutes routes from multiple source locations to multiple destination locations that previously were unsatisfactory after days of work.”
Maximized yield with an enterprise model of purchases against over 1,000 SKUs sold.
“Stopped were arguments based on gut feel; optimization settles it. Plus, unfilled orders fell by two-thirds.”
“We couldn't believe the savings, but in all reviews the optimizations were confirmed as correct.”
“We had a recipe for a simple food product using cheap ingredients, but I agreed to the Savings Analysis. The BOM savings were over 30% to meet the same label and quality!”
“The program is easy to use. Import utilities enabled rapid database construction. Optimization savings followed.”
“The API and spreadsheet data-exchange utilities enabled leveraging data in other IT systems and returning optimized solutions to those systems for execution.”
Among all possibilities, the single best choice.That's what "optimized" actually means.
Tell us where the money moves. We'll return a short, defensible savings analysis — using your numbers, your constraints, your business.
