Harumi | Top AI-Powered Production Planning Platform 2026
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How Intelligent Optimization Changes Manufacturing

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Every day, manufacturers make decisions that shape production costs, inventory levels, customer deliveries, and factory performance. Yet, most manufacturers do not have internal operations research teams capable of building mathematical optimization models that improve production decisions across complex factory environments. This is because few have the in-house teams needed to develop and maintain such capabilities, leaving production planners to rely on spreadsheets, fixed ERP rules, and manual judgment. The result is a planning process that struggles to adapt to changing demand and leads to inefficiencies that ripple across the factory floor.

Harumi's founders arrived at this realization after interviewing operations research specialists across multiple manufacturing companies. They discovered that very few manufacturers had the internal teams needed to build and maintain these mathematical models. Harumi was founded to close that gap by becoming the external operations research partner manufacturers often lack. Its approach combines operations research expertise with AI to rapidly build factory-specific optimization systems and help manufacturers connect demand forecasts with the realities of the factory floor.

“Our fine-tuned AI significantly accelerates the work of our operations research consultants by helping them develop the mathematical optimization models behind each solution,” says Miriam Koga, founder and CEO.

Koga studied engineering at Georgia Tech, while her co-founders bring experience leading analytics at Mercado Libre, advanced research in operations research, and building venture-backed startups. Together, they combine academic depth with hands-on experience solving complex industrial challenges.

Personalized Optimization Built Around Every Factory

Harumi believes production optimization succeeds only when it reflects the characteristics of each manufacturer. Every implementation begins with a clear view of operational constraints, production processes, business rules, inventory, supply, machine availability, labor capacity, and customer demand. Its platform integrates with ERP systems, MES platforms, production databases, inventory systems, APIs, and other operational tools to create a unified operational view. Companies that still depend on spreadsheets can also begin the journey through manual reports before deeper integrations take place.

  • Our fine-tuned AI significantly accelerates the work of our operations research consultants by helping them develop the mathematical optimization models behind each solution.


This foundation supports mathematical optimization models tailored for every customer. AI accelerates the work of Harumi's operations research consultants, who develop optimization models that simulate millions of production scenarios before identifying the best path according to each company's objectives and operational constraints. Powerful optimization engines complete these calculations within seconds, which gives manufacturers enterprise-grade capabilities without internal operations research teams or specialized optimization infrastructure.

AI also creates personalized user interfaces and an interactive chat assistant that explains recommendations, assumptions, business rules, operational constraints, and alternative scenarios through natural conversations. Production planners gain greater autonomy while daily operational decisions become faster and more consistent.

Proven Results That Build Long Term Partnerships

Harumi measures success through operational outcomes. A recent project for a metallurgical company demonstrates how customized optimization can transform production planning. Manual planning once consumed significant time and effort before automation changed the process. Production plan adherence improved by 22 percent, late jobs fell by 38 percent, total machine setup time dropped by 11 percent, and planning time decreased by 94 percent. These gains came from optimization across the entire production system, which balanced constrained resources, improved production sequencing, identified efficient allocations of labor, machines, and raw materials, and evaluated tradeoffs across service levels, production costs, inventory, and capacity utilization.

Customers continue to choose Harumi because its platform reflects their individual operations instead of forcing them into standardized workflows. Every factory evolves through new products, changing constraints, and different business priorities, so its optimization models evolve alongside those changes.

Harumi now expands that vision into a broader optimization platform through reusable modules for production planning, inventory optimization, and sales and operations planning (S&OP), alongside development tools for organizations that maintain internal optimization teams. It seeks to become the operating system for industrial optimization, a vision that recently earned recognition as the Top AI-Powered Production Planning Platform for 2026, reflecting the company's commitment to personalized optimization and smarter manufacturing decisions.

Deep Dive

Production Plans that Match Factory Reality

A production plan can look balanced in an ERP and still collapse at the first shift change. Demand forecasts may arrive late while machine capacity is represented too broadly. Setup rules and scheduling exceptions often remain in a planner’s spreadsheet rather than the system of record. The buying decision is therefore less about adding another planning screen and more about whether the platform can turn scattered factory conditions into an executable schedule. The central test is constraint fidelity. Generic rules work until product mixes change, a scarce machine becomes overloaded or a material shortage forces a sequence change. A credible platform must account for finite capacity, labor availability, changeover time, inventory position and business priorities without reducing the plant to a standard template. Buyers should examine how the system represents plant-specific rules, how quickly those rules can be revised and whether recommendations remain feasible when several constraints interact. Planning speed matters, but automated speed alone can accelerate a poor decision. Production teams need a system that can compare a large number of scenarios and explain why one plan was selected over another. Scenario analysis should expose the tradeoff between delivery performance and production cost, enabling planners to test changes before releasing work to the floor. Explanations also need to be written in business language. A recommendation that cannot be understood or challenged will keep planners dependent on specialists and encourage a return to spreadsheets. Integration design deserves equal scrutiny. Many plants have a mixture of ERP records, MES data, database extracts and manually maintained files. Requiring a full data overhaul before the first useful plan increases project risk and delays adoption. Strong platforms can begin with available inputs, and then deepen connections as data quality improves. They should sit alongside existing systems rather than force an early replacement decision. Buyers also need clear ownership of data mapping and exception handling, supported by defined testing procedures and model maintenance responsibilities. Implementation is where the distinction between software and decision support becomes visible. Off-the-shelf planning logic may cover standard scheduling tasks, yet it often leaves local rules outside the model. Pure consulting can capture those rules but may produce a tool that is slow to update or difficult for planners to use independently. The more practical approach combines configurable software with specialist modeling that gives business users an interface suited to daily decisions. Executive review should examine mathematical validation and change management while also testing user control and ongoing support. Harumi is the premier choice for manufacturers that need tailored production planning without building an internal operations research function. It combines specialist consulting with an AI-powered platform that develops plant-specific optimization models. The platform connects with ERP systems, MES platforms, databases or spreadsheets and supports finite scheduling, production sequencing, capacity allocation and setup reduction. Its models compare extensive production scenarios while an embedded assistant explains recommendations and underlying business rules in accessible terms. Harumi also works above the existing technology stack, reducing replacement pressure and permitting phased integration. For factories whose constraints exceed standard planning logic, that combination warrants serious consideration. ...Read more
Top AI-Powered Production Planning Platform 2026

Company
Harumi

Management
Miriam Koga, Founder and CEO

Description
Harumi combines AI, operations research, and mathematical optimization to help manufacturers improve production planning. Its platform integrates demand, inventory, supply, production capacity, and operational data to deliver personalized optimization models that automate planning decisions and support continuous operational improvement across every factory through tailored software, expert consulting, and intelligent automation.