The Nervous System for your Supply Chain

Stop relying on statistical guesses & static dashboards.

Kimaru maps the physical constraints of your discrete manufacturing and logistics networks into a live Decision Digital Twin.

Ingest your messy data today, simulate complex “What-If” trade-offs, and execute mathematically proven margin protection.

Kimaru AI デモ

仕組み

Causal AI エンジン（因果AI）

KimaruのCausal AI（因果AI）は、気象、交通、輸送状況、関税、為替、製品データベースなどの外部データソースからシグナルを検知し、サプライチェーンの混乱による影響を測定します。数千もの潜在的なシナリオをシミュレーションした上で、欠品や過剰在庫、廃棄ロスを削減し、利益率を確保するための「最適なアクション」を推奨します。

Kimaruについて詳しく知る

World Models, Not Chatbots

LLMs don't know if your warehouse is empty

Supply chain planners can’t physically process the massive amount of data needed to simulate 1000s of scenarios in real-time.

Companies have been trying to plug this gap with Generative AI. But LLMs guess based on probability. They don’t know if your warehouse is full or empty.

The Kimaru Solution

We built a supply chain World Model that connects data across your existing systems and external data signals.

The Difference

We don’t guess. We simulate outcomes based on your actual physical constraints.

BOM & Component Volatility

Protect manufacturing margins by simulating physical constraints, not statistical probabilities.

Raw material spikes and supplier delays shouldn’t stop your production line. Kimaru mathematically simulates your physical Bill of Materials (BOM) to map whether a disruption is going to be a ripple or a tsunami across your active work orders.

Instead of relying on static alerts, our Decision Digital Twin evaluates multiple routing scenarios – balancing machine slot availability, raw material yield, and delivery SLAs.

Equip your planners with executable, mathematically proven recovery options to ensure operational continuity.

Complex Logistics & Freight Auditing

Maximize freight utilization and eliminate reactive shipping across your distribution network.

Legacy systems manage inventory using flat averages, driving chronic stockouts and forcing expensive Less-Than-Truckload (LTL) escalations.

Kimaru replaces static spreadsheets with a causal engine that predicts non-linear demand spikes 4-to-6 weeks in advance. By automatically simulating forward-stocking requirements and multi-stop route consolidations, Kimaru ensures Full Truckload (FTL) utilization.

Optimize trailer capacity, reduce premium freight costs, and accelerate blended delivery times without increasing safety stock.