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  6. Forecast BI 'Tsunage Mon Simulator' that Breaks Through the Limits of Excel

Forecast BI 'Tsunage Mon Simulator' that Breaks Through the Limits of Excel

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Connect Mon Series

last updated:Aug 06, 2026

ケーエスピー
ケーエスピー
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Build a "dynamic forecasting model" from your company's data. Instantly calculate countless scenarios and visualize future bottlenecks.

Every time the management team launches a new business, the field gets overwhelmed. The increasing complexity of variables breaks the Excel formulas... The "Connect Mon Simulator" is a system that consolidates all internal data to build a digital twin (virtual model) specifically for your company. It comprehensively calculates all risk patterns such as delays in raw materials, currency fluctuations, and personnel shortages, preventing catastrophic failures before they occur. It allows you to safely test uncertain futures, such as "What if we built a new factory?" or "What if sales of the product doubled?" within the simulator before making decisions in the real world.

    SFA/Sales Support SystemBusiness Intelligence and Data AnalysisOther information systems
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Forecast BI 'Tsunage Mon Simulator' that Breaks Through the Limits of Excel

  • Related Link - https://www.k-sp.co.jp/rp/tsunage-mon/

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basic information

**Three Strengths of the Simulator** 1. Machine learning models optimized for your company’s data Unlike general forecasting tools, we build dedicated models that fully learn your unique production capacity, lead times, and cost structure. 2. Automatic detection of bottlenecks When you input your target sales, the system proactively identifies future bottlenecks, such as "the second warehouse will run out of storage space in three months." 3. User-friendly dashboard for management Complex calculation results are displayed in easy-to-understand graphs, such as profit margins and utilization rates. You can also compare "Plan A" and "Plan B" with just one click.

Price information

The costs for building the system environment and providing ongoing support will be estimated based on the amount of data and requirements we receive. *Instead of immediately implementing the system, it is possible to start with a one-time "trial analysis report" using past data.

Delivery Time

Please contact us for details

※【Implementation Steps】1. Trial Report (Spot Analysis) ➔ 2. Construction of Simulator Environment ➔ 3. In-house Operation and Support

Applications/Examples of results

【Expected Uses and Implementation Effects】 ■ Supply Chain and Logistics Load Forecasting - Before Implementation: It was difficult to know how much load would be placed on manufacturing and logistics until just before launching a new product, leading to exhaustion. - After Implementation: High-precision demand forecasting, combining past sales data with external factors, allows for resource optimization in advance. Shifting from intuition-based management to data-driven management. The simulator presents the safest and most profitable routes.

Detailed information

  • gemini-svg-_5_.png

    【STEP1】Breaking Away from the Limits of Excel Forecasting We will systematize forecasting tasks that are too complex for Excel's formulas to handle, due to factors such as the establishment of new factories, rapid fluctuations in demand, and personnel shortages. By inputting your company's actual operational data, such as unique "production capacity," "lead time," and "cost structure," we will build a foundation (model) for high-precision simulations.

  • gemini-svg-_4_.png

    【STEP2】Dynamic Simulation Based on In-House Data Based on the input data, we will build a "forecast model" on the system that calculates the correlations between sales, costs, and resources. By simply changing variables on the dashboard, such as "What if the delivery of materials is delayed by one week?" or "What if the sales of our main product suddenly double?", the results can be recalculated instantly to see how they fluctuate. This allows for safe testing before making potentially catastrophic mistakes in the real world.

  • gemini-svg-_3_.png

    【STEP3】Identify Future Bottlenecks in Advance Complex calculation results are output as a dashboard that management can intuitively understand, including metrics such as profit margins and utilization rates. Furthermore, the system automatically points out future bottlenecks (risks), such as "the second warehouse will be overwhelmed in three months if things continue as they are." This strongly supports safe and reliable management decisions based on data and evidence, rather than relying on "intuition and guts."

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Model number overview
Trial Analysis Report Instead of building the system all at once, this is a spot plan to conduct one-time simulation analysis using past data we have collected to verify its effectiveness.
Building a dedicated simulator environment After you experience the effects in the trial report, we will build a dedicated digital twin environment that learns your company's unique variables (such as production capacity, cost structure, lead time, etc.).
In-house operation and support. We will provide training for the field personnel to effectively use the constructed simulator and continuously utilize it for management decisions, as well as perform maintenance and tuning of the model.

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ケーエスピー

ケーエスピー

IT/Telecommunications

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Our company provides a comprehensive IT service that covers everything from planning and proposal of IT systems operated within the company to design, development, and maintenance. We also implement cost-effective cloud services and build systems by combining multiple systems, along with providing operational maintenance support. In terms of security, we handle IT asset management and information security systems such as "SS1," online sharing services like "box," and OS protection solutions like "AppGuard." We conduct pre-implementation hearing visits and online meetings to propose the most suitable system.

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