Kimaru provides a supply chain decision intelligence platform that ingests enterprise data and external signals to simulate thousands of scenarios. The platform uses Causal AI to generate actionable recommendations for inventory and pricing optimization, reducing stockouts and waste. This system learns from planner adjustments to continuously improve decision accuracy and automate audit trails.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Supply chain managers often struggle with decision fatigue due to the complexity of logistics, leading to suboptimal choices and reduced productivity. Traditional methods lack the ability to quickly simulate various actions and predict their effectiveness, hindering efficient problem-solving.
Solution
Kimaru.ai offers a decision augmentation platform that helps supply chain managers reduce decision-making time and optimize productivity. The platform integrates data from various sources, including ERP, POS, and sensor data, to power prescriptive analytics models. These models enable users to simulate different actions and visualize their potential impact, facilitating informed decisions regarding pricing, replenishment, routing, and inventory. By providing AI-powered recommendations and a decision tracker, Kimaru.ai enhances decision accuracy and helps businesses minimize stockouts, reduce markdown losses, and safeguard margins.
Target Audience
The primary target audience includes supply chain managers, particularly those in fashion, food & beverage, and vending machine industries, who need to optimize inventory, reduce waste, and improve overall supply chain resilience.
Features
- Data Loader: Integrates data streams from multiple sources and performs ETL operations to unify complex datasets.
- Product Explorer: Provides a centralized view of products with notifications for managing surplus, setting safety stock levels, and optimizing revenue.
- AI-Powered Recommendations: Offers suggestions that users can accept, defer, or adjust, creating a feedback loop to enhance accuracy.
- Decision Tracker: Monitors decision accuracy and quantifies cost recovery achieved through improved decision-making.
- Prescriptive analytics models: Simulate various actions to determine the most effective solutions.