Goals Obtains Two Patents for Automated Ordering Products to Solve Food Industry Challenges via DX
Goals Co., Ltd. has acquired two patents related to its 'HANZO Automated Ordering' service. These technologies automate complex supplier constraint checks and dynamic inventory adjustments, aiming to reduce food waste and operational burdens in restaurants.
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Goals Co., Ltd. (Headquarters: Minato-ku, Tokyo; CEO: Suguru Sasaki; hereinafter 'the Company') is pleased to announce that it has obtained two patents for technologies related to its 'HANZO Automated Ordering' service, which automates ingredient ordering for food service establishments.
In the restaurant industry, ingredient ordering has traditionally relied heavily on the experience and intuition of individual staff members. This has led to chronic issues such as food waste due to over-ordering and lost sales opportunities due to stockouts. Furthermore, when there are complex constraints from suppliers regarding total quantities or order amounts for multiple items, the workload on staff increases significantly. Goals has been developing technologies to solve these challenges, leading to these recent patent acquisitions.
### Overview of Acquired Patents and Their Capabilities
**[Patent 1: Method for Automated Ingredient Ordering (Patent No. 7805053)]**
The system automatically checks if the order content meets the specific constraints (quantity, amount, etc.) of each supplier. Based on inventory data and demand forecasting, it automatically proposes order details that minimize waste and lost opportunities while satisfying all constraints.
Previously, staff had to manually calculate and adjust for supplier requirements (e.g., total number of noodle packs must be a multiple of 90, or the order amount from a specific supplier must exceed 5,000 yen). With this technology, the system can automatically determine complex constraints for various combinations of ingredients and supplies. It calculates the optimal order from all possible combinations, considering expiration dates, demand forecasts, stock levels, and prices. Alerts are automatically displayed if a constraint is violated.
**[Patent 2: Ordering Optimization via Automatic Inventory Baseline Adjustment (Patent No. 7834947)]**
This technology uses a unique algorithm combining past consumption data, safety stock values, and adjustment factors to predict future demand with high accuracy, taking into account the trends and variability of each ingredient. It patentizes the mechanism that automatically executes ordering when stock falls below a certain threshold (inventory baseline).
Traditionally, adjusting inventory baselines according to seasonal changes or demand trends required manual effort by staff monitoring daily sales. With this technology, AI predicts demand based on past results and automatically raises or lowers ordering levels by comparing current baselines with historical ones. By combining this with a 9-level inventory setting tailored to the characteristics of each ingredient (trends, seasonality, consumption variability, etc.), the system achieves precise automation that prevents excess inventory while mitigating stockout risks.
### Future Outlook
Through these patent acquisitions, Goals will further strengthen the technological advantage of its automated ordering systems and contribute to operational reforms in the food industry. We will continue to develop products and expand functions by staying close to the voices from the field.
### About HANZO Automated Ordering
Ordering for restaurants requires precision to ensure appropriate stock without stockouts or waste. This is highly difficult as it involves considering sales trends, menu item popularity (usage rates), and delivery lead times.
'HANZO Automated Ordering' uses AI to perform store-specific sales forecasting, taking into account weather-driven fluctuations and recent ordering trends. It calculates the appropriate order volume and automatically links with the ordering system. In addition to reducing ordering time, it prevents food shortages and overstocking caused by human error or inconsistent accuracy, contributing to reduced psychological stress and food waste.
Service Details: https://hanzo.goals.co.jp/order
### Company Profile
Company Name: Goals Co., Ltd.
Location: +SHIFT MITA 3F, 5-3-2 Shiba, Minato-ku, Tokyo
Representative: Suguru Sasaki, President & CEO
Established: July 2018
Business: Development, sales, and operational support of cloud services for the food service industry
URL: https://goals.co.jp/
In the restaurant industry, ingredient ordering has traditionally relied heavily on the experience and intuition of individual staff members. This has led to chronic issues such as food waste due to over-ordering and lost sales opportunities due to stockouts. Furthermore, when there are complex constraints from suppliers regarding total quantities or order amounts for multiple items, the workload on staff increases significantly. Goals has been developing technologies to solve these challenges, leading to these recent patent acquisitions.
### Overview of Acquired Patents and Their Capabilities
**[Patent 1: Method for Automated Ingredient Ordering (Patent No. 7805053)]**
The system automatically checks if the order content meets the specific constraints (quantity, amount, etc.) of each supplier. Based on inventory data and demand forecasting, it automatically proposes order details that minimize waste and lost opportunities while satisfying all constraints.
Previously, staff had to manually calculate and adjust for supplier requirements (e.g., total number of noodle packs must be a multiple of 90, or the order amount from a specific supplier must exceed 5,000 yen). With this technology, the system can automatically determine complex constraints for various combinations of ingredients and supplies. It calculates the optimal order from all possible combinations, considering expiration dates, demand forecasts, stock levels, and prices. Alerts are automatically displayed if a constraint is violated.
**[Patent 2: Ordering Optimization via Automatic Inventory Baseline Adjustment (Patent No. 7834947)]**
This technology uses a unique algorithm combining past consumption data, safety stock values, and adjustment factors to predict future demand with high accuracy, taking into account the trends and variability of each ingredient. It patentizes the mechanism that automatically executes ordering when stock falls below a certain threshold (inventory baseline).
Traditionally, adjusting inventory baselines according to seasonal changes or demand trends required manual effort by staff monitoring daily sales. With this technology, AI predicts demand based on past results and automatically raises or lowers ordering levels by comparing current baselines with historical ones. By combining this with a 9-level inventory setting tailored to the characteristics of each ingredient (trends, seasonality, consumption variability, etc.), the system achieves precise automation that prevents excess inventory while mitigating stockout risks.
### Future Outlook
Through these patent acquisitions, Goals will further strengthen the technological advantage of its automated ordering systems and contribute to operational reforms in the food industry. We will continue to develop products and expand functions by staying close to the voices from the field.
### About HANZO Automated Ordering
Ordering for restaurants requires precision to ensure appropriate stock without stockouts or waste. This is highly difficult as it involves considering sales trends, menu item popularity (usage rates), and delivery lead times.
'HANZO Automated Ordering' uses AI to perform store-specific sales forecasting, taking into account weather-driven fluctuations and recent ordering trends. It calculates the appropriate order volume and automatically links with the ordering system. In addition to reducing ordering time, it prevents food shortages and overstocking caused by human error or inconsistent accuracy, contributing to reduced psychological stress and food waste.
Service Details: https://hanzo.goals.co.jp/order
### Company Profile
Company Name: Goals Co., Ltd.
Location: +SHIFT MITA 3F, 5-3-2 Shiba, Minato-ku, Tokyo
Representative: Suguru Sasaki, President & CEO
Established: July 2018
Business: Development, sales, and operational support of cloud services for the food service industry
URL: https://goals.co.jp/