We provide professional Excel Solver consulting to help organizations solve complex optimization problems directly in Excel— including linear, nonlinear, integer, and mixed-integer models used for planning, allocation, scheduling, and decision support.
Excel Solver is a powerful optimization engine—but correct results depend on proper model formulation, constraint design, solver configuration, and interpretation of outputs.
We work directly inside Excel to build and refine Solver models that support real business decisions—without requiring specialized optimization software or a complete platform change.
Translate real-world problems into Solver-ready optimization models. Define objective functions, decision variables, and constraints correctly for linear, nonlinear, and integer optimization problems.
Build and solve LP, IP, and MIP models in Excel Solver for production planning, resource allocation, scheduling, location decisions, and portfolio selection.
Design nonlinear Solver models, sensitivity analyses, and scenario frameworks where decisions interact dynamically with constraints, costs, or performance metrics.
Diagnose infeasible models, incorrect results, Solver convergence failures, unstable constraints, and performance issues in existing Excel Solver workbooks.
Verify solution correctness, validate assumptions, test edge cases, and interpret Solver outputs so results can be trusted in high-stakes decisions.
Package Solver models into clean, usable Excel tools with controlled inputs, clear outputs, and scenario controls—usable by non-technical stakeholders.