Supply Chain Decision Intelligence Platform
Supply chain planners have to manage increasing volatility. Legacy systems of record and demand forecasting tools can’t keep up.
Planners spend 50% of their time acting as “human middleware” – scrubbing data in Excel instead of making decisions.
Kimaru’s Decision Intelligence Agents free you up to focus on actual decision making.
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How it Works
Data Loader
Kimaru ingests data from your ERP, SCM, WMS, TMS, Excel, PDF purchase orders, BOM, etc. Our AI Agents do the hard work of scanning and cleaning this data, freeing your team from this time-consuming manual process.
Causal AI Engine
Our Causal AI measures signals from external data sources like weather, traffic, shipping, tariffs, currency, and product databases to determine the impact of disruptions. It simulates 1000s of potential scenarios and recommends the correct action for planners to take - reducing stockouts, overstocks, and waste while protecting margin.
Continuous Learning
You approve or adjust the decisions before taking action on them. Kimaru learns from each decision and outcome to improve the next recommendation and records the rationale for stakeholders - automating reporting, compliance, and decision audits.
Decision Tracker
Every decision is tracked for auditing, governance, and compliance. The Decision Tracker shows how you're getting more accurate in your decisions by using Kimaru AI, as well as the amount of Cost Recovery achieved by this improved decision accuracy.
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World Models, Not Chatbots
LLMs don't know if your wharehouse 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.
Pricing Optimization
Dynamic price recommendations that balance margin, sell-through, and risk
Pricing Optimization delivers dynamic, SKU-level price recommendations grounded in real-time data from your existing systems. Built for fast-moving categories like beverages, dairy, produce, and meat, it helps teams move stock, protect margin, and respond quickly to shifting demand – without relying on static rules or blunt markdowns.
Recommendations are based on inventory aging, demand patterns, cost recovery, and your own pricing constraints. Each one includes a projected impact on sell-through and margin, so you can prioritize what matters and defer the rest to Worklist.
Pricing Optimization puts pricing back on pace with your operations – fast, flexible, and built for real-world complexity.
Inventory Optimization
Stop guessing. Start moving the right stock at the right time.
Inventory Optimization helps keep shelves stocked and waste low across fast-moving categories like produce, dairy, meat, and drinks. It connects to your existing systems and surfaces clear, actionable recommendations on what to move, hold, or transfer based on real-time velocity, supply timing, and inventory risk.
Instead of combing through spreadsheets or waiting on end-of-week reports, your team sees the most important actions first, with projected outcomes like reduced spoilage or fewer stockouts. Urgent decisions show up in your main workflow. The rest go to Worklist so you can handle them when it makes sense.
Inventory Optimization cuts through the noise so your team can act faster, avoid waste, and keep the right products in the right place – without changing how they already work.
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