Kurashiru Launches "Kurashiru AI Supply Chain OS," an AI Agent to Automate Operations for Manufacturers, Wholesalers, and Retailers
Kurashiru Co., Ltd. has officially launched "Kurashiru AI Supply Chain OS," an AI agent specifically designed for manufacturers, wholesalers, and retailers. This service leverages the company's unique data assets and customer base cultivated through its recipe video service and savings app to streamline operations and accelerate decision-making across the supply chain.
📋 Article Processing Timeline
- 📰 Published: May 7, 2026 at 19:00
- 🔍 Collected: May 7, 2026 at 10:31
- 🤖 AI Analyzed: May 8, 2026 at 01:50 (15h 19m after Collected)
Kurashiru Co., Ltd. (Headquarters: Minato-ku, Tokyo; Representative Director and President: Yusuke Horie) is pleased to announce the official launch of "Kurashiru AI Supply Chain OS," an AI agent specialized for manufacturers, wholesalers, and retailers.
■ "Kurashiru AI Supply Chain OS" Official Website
https://scos.kurashiru.co.jp/
Until now, our company has developed services in the sales promotion and purchasing domains, utilizing unique data assets such as recipe data, receipt data, and flyer viewing data cultivated through Japan's No.1 recipe video service "Kurashiru" and the savings app "Rechare." We have also leveraged a customer base exceeding 44 million downloads, a retail network of 35,000 stores, and transaction bases with national clients. Based on this business foundation, we are now officially launching "Kurashiru AI Supply Chain OS," an AI agent specialized for manufacturers, wholesalers, and retailers.
This service centers on an ontology (consistent meaning assigned to distributed data within an organization) that incorporates the unique business practices and operational processes of manufacturers, wholesalers, and retailers. It comprehensively utilizes structured and unstructured data distributed within companies to support the efficiency of complex decision-making tasks and accelerate decision-making. Since it functions as a common platform for AI agents to understand business context and operate across business systems and data, we position this service as a "Supply Chain OS."
Background of the Launch
For manufacturers, wholesalers, and retailers, the importance of operational efficiency and productivity improvement has increased significantly against the backdrop of labor shortages, recruitment difficulties, and rising prices. Meanwhile, with the evolution of AI foundation models, the feasibility of AI utilization has increased not only for routine tasks but also for tasks requiring judgment based on multiple data points and business contexts.
On the other hand, there is a challenge in the field where individual solutions are often introduced department by department, leading to fragmented operations and data.
In light of this situation, our company has launched "Kurashiru AI Supply Chain OS" as a platform that connects individually optimized solutions, allowing AI agents to function across the entire business.
Service Overview
This service consists of the following three layers:
AI Agent Layer
Multiple AI agents perform task execution and decision support in each business domain.
Ontology Layer
It assigns common meanings to diverse data scattered within the organization, creating a state where AI agents can easily understand the business context.
Information Layer
It handles our unique data, as well as structured data such as POS, EDI, CRM, and unstructured data such as negotiation conversation data, faxes, and handwritten forms.
The four AI agent areas currently being offered are as follows. We plan to sequentially expand the supported areas and provided functions in response to the needs of adopting companies and the expansion of target operations.
Sales & Promotion Agent
Supports proposal creation, condition confirmation, and sales promotion planning based on negotiation records, sales promotion results, and POS data.
Order & Receipt Agent
Supports order confirmation, input assistance, and exception handling by integrating faxes, forms, and EDI data.
Supply Chain Agent
Supports supply and demand judgment, inventory optimization, and ordering plans based on demand, inventory, and shipping information.
Management Agent
Visualizes cross-departmental performance, costs, and sales promotion investment data to support management decisions and monitoring.
This service does not replace existing core systems but functions as a layer that interprets business context and supports/executes operations through AI agents in conjunction with existing systems.
Service Features
Ontology specialized for manufacturers, wholesalers, and retailers
It assigns consistent meanings to data distributed within the organization, based on the business practices and operational processes of manufacturers, wholesalers, and retailers. This makes it easier to handle siloed data across the board and improves the accuracy of AI agent utilization.
Pay-per-task billing model
Instead of a fixed monthly fee, a pay-per-task billing model is adopted, based on the number of tasks executed by the AI agent. This allows adopting companies to start small by limiting the target operations and expand their usage while verifying the effects.
Supports reduction of work hours and shift to high-value tasks
For example, in some sales condition management tasks, significant effort is required for matching and calculating transaction conditions and results. This service supports such tasks with AI agents, reducing the workload on staff and enabling them to shift to high-value tasks such as analysis, proposals, and negotiations.
■ "Kurashiru AI Supply Chain OS" Official Website
https://scos.kurashiru.co.jp/
Until now, our company has developed services in the sales promotion and purchasing domains, utilizing unique data assets such as recipe data, receipt data, and flyer viewing data cultivated through Japan's No.1 recipe video service "Kurashiru" and the savings app "Rechare." We have also leveraged a customer base exceeding 44 million downloads, a retail network of 35,000 stores, and transaction bases with national clients. Based on this business foundation, we are now officially launching "Kurashiru AI Supply Chain OS," an AI agent specialized for manufacturers, wholesalers, and retailers.
This service centers on an ontology (consistent meaning assigned to distributed data within an organization) that incorporates the unique business practices and operational processes of manufacturers, wholesalers, and retailers. It comprehensively utilizes structured and unstructured data distributed within companies to support the efficiency of complex decision-making tasks and accelerate decision-making. Since it functions as a common platform for AI agents to understand business context and operate across business systems and data, we position this service as a "Supply Chain OS."
Background of the Launch
For manufacturers, wholesalers, and retailers, the importance of operational efficiency and productivity improvement has increased significantly against the backdrop of labor shortages, recruitment difficulties, and rising prices. Meanwhile, with the evolution of AI foundation models, the feasibility of AI utilization has increased not only for routine tasks but also for tasks requiring judgment based on multiple data points and business contexts.
On the other hand, there is a challenge in the field where individual solutions are often introduced department by department, leading to fragmented operations and data.
In light of this situation, our company has launched "Kurashiru AI Supply Chain OS" as a platform that connects individually optimized solutions, allowing AI agents to function across the entire business.
Service Overview
This service consists of the following three layers:
AI Agent Layer
Multiple AI agents perform task execution and decision support in each business domain.
Ontology Layer
It assigns common meanings to diverse data scattered within the organization, creating a state where AI agents can easily understand the business context.
Information Layer
It handles our unique data, as well as structured data such as POS, EDI, CRM, and unstructured data such as negotiation conversation data, faxes, and handwritten forms.
The four AI agent areas currently being offered are as follows. We plan to sequentially expand the supported areas and provided functions in response to the needs of adopting companies and the expansion of target operations.
Sales & Promotion Agent
Supports proposal creation, condition confirmation, and sales promotion planning based on negotiation records, sales promotion results, and POS data.
Order & Receipt Agent
Supports order confirmation, input assistance, and exception handling by integrating faxes, forms, and EDI data.
Supply Chain Agent
Supports supply and demand judgment, inventory optimization, and ordering plans based on demand, inventory, and shipping information.
Management Agent
Visualizes cross-departmental performance, costs, and sales promotion investment data to support management decisions and monitoring.
This service does not replace existing core systems but functions as a layer that interprets business context and supports/executes operations through AI agents in conjunction with existing systems.
Service Features
Ontology specialized for manufacturers, wholesalers, and retailers
It assigns consistent meanings to data distributed within the organization, based on the business practices and operational processes of manufacturers, wholesalers, and retailers. This makes it easier to handle siloed data across the board and improves the accuracy of AI agent utilization.
Pay-per-task billing model
Instead of a fixed monthly fee, a pay-per-task billing model is adopted, based on the number of tasks executed by the AI agent. This allows adopting companies to start small by limiting the target operations and expand their usage while verifying the effects.
Supports reduction of work hours and shift to high-value tasks
For example, in some sales condition management tasks, significant effort is required for matching and calculating transaction conditions and results. This service supports such tasks with AI agents, reducing the workload on staff and enabling them to shift to high-value tasks such as analysis, proposals, and negotiations.