Inputs
Demand, price, plant data, inventory
SOPtimAi is an AI-powered Integrated Business Planning platform that unifies production optimization, inventory planning, logistics, and customer supply and source mapping. It integrates planning decisions to maximize profit, beyond closing the demand-supply gap.
Volume balancing can overlook asset utilization, internal material movement, logistics dependencies, customer prioritization and financial outcomes. These gaps can lead to costly, suboptimal decisions.
SOPtimAi brings operational constraints, financial variables, production capabilities, logistics limits, market demand and pricing signals into a unified optimization engine.
The platform evaluates 45,000+ decision variables, 60,000+ constraints and 10,000+ nonlinear constraints simultaneously.
Demand, price, plant data, inventory
Capacity, routing, logistics, business rules
Production, sourcing, allocation, stock
Implementable, profit-optimized plan
SOPtimAi replaces iterative planning what-ifs with one model that optimizes production, inventory and product demand-supply decisions together.
One planning cycle. Every function. Profit-optimized.
Unifies demand, supply, production, inventory, logistics and financial planning in a cross-functional optimization run.
The right stock, in the right place, without tying up working capital.
Right-sizes multi-product inventories across sites, balancing carrying costs and service levels in the same model.
Select which sites serve which customers. Meet demand where it is most profitable.
Optimizes customer-to-site allocation and fulfilment while protecting the service levels that matter most.
Figures and outcome claims reflect the supplied content brief and should be validated by Ingenero before publication.
Profit-first optimization across the enterprise, beyond volume balancing.
45,000+ decisions considered together across production, inventory, internal logistics and customer supply.
Cross-functional IBP connects finance, production, inventory management and supply chain.
Optimization run within 20 minutes of input provision, compared with days of iteration in legacy planning.
Inventory and product availability optimized as one connected problem.
Purpose-built for multi-site, multi-product, multi-constraint industrial operations.
Choose a role to see how SOPtimAi supports its planning priorities.
Optimize 45,000+ decision variables across the corporation and identify potential untapped margin through AI-driven profitability optimization.
Schedule ConsultationPlanning models account for the operating constraints and commercial decisions of each industry.
Complex value chains, multi-site production interdependencies, inventory and allocation under volatile input costs.
Demand-driven S&OP and inventory planning across fast-moving, multi-SKU networks.
Constraint-heavy inventory and availability planning at plant and portfolio level.
Demand- and pricing-aware S&OP and inventory planning with margin in view.
SOPtimAi draws on Ingenero's S&OP and ERPM expertise, applied AI heritage and experience in industrial operations. Its planning approach is grounded in engineering and operational constraints.
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