GOAT Releases Free 2026 Guide on 8 Food E-Commerce Operations That Can Be Automated with AI

GOAT Inc. has released a free guide titled “Are You Still Handling Food E-Commerce Operations Manually in 2026? 8 Areas AI Can Automate and Practical Steps You Can Use Right Away.” The guide systematizes AI tools and operational know-how used by GOAT in actual client support, together with legal-risk precautions specific to food e-commerce. ■ For businesses that think they are using AI but have not made operations easier An increasing number of food e-commerce businesses say they want to use AI but do not know where to start. At the same time, some businesses that have begun using AI report cases where generated copy included expressions that could potentially violate Japan’s Pharmaceuticals and Medical Devices Act. AI use in food e-commerce involves two major risks: 1. Labor shortages remain unresolved because businesses do not understand which areas can benefit from AI. 2. AI outputs are used as-is without legal checks, creating risks under the Pharmaceuticals and Medical Devices Act and the Food Labeling Act. This guide compiles practical and safe AI use cases for food e-commerce, based on GOAT’s client support experience and internal interviews. ■ Main topics covered Product descriptions and copy generation: How to improve AI output quality through prompt design that clearly specifies the target audience, USP, and differentiation points. The guide also explains practical steps for blending in language taken from customer reviews to add a more human touch. Combining AI image generation with Canva: Generating appetizing product images using commercially available plans. The guide explains the proper workflow of using AI-generated images as drafts and refining them with real photography, as well as key points for checking Rakuten and Yahoo! image guidelines. Review analysis and competitor review extraction: A process for having AI analyze 50 low-rated competitor product reviews once a month to visualize the structure of market dissatisfaction. The guide explains how to use this for prioritizing product improvements and landing page improvements. AI risks and legal checks specific to food e-commerce: Proper use of AI for drafting complaint responses. The workflow assumes that humans must always verify compliance with the Pharmaceuticals and Medical Devices Act, the Act against Unjustifiable Premiums and Misleading Representations, and the Food Labeling Act. Representative comment GOAT Representative Director Shun Yoshinaga said: “At GOAT, we actively use AI in client support, but we strictly follow the principle that AI creates drafts and humans perform the checks. Especially in the food sector, legal checks related to ingredients, effects, and raw material labeling must always be performed by humans. The time saved through AI can be redirected toward creative work such as product planning and improving brand experience. Start today by replacing just one routine task with AI.” ■ Food e-commerce businesses that need this guide now ・Businesses that want to use AI but have not organized which food e-commerce operations it can be applied to. ・Businesses that have tried generating product descriptions with ChatGPT but found the quality too low to use directly. ・Businesses that lack a process to check whether AI outputs contain expressions that may violate the Pharmaceuticals and Medical Devices Act or the Food Labeling Act. ■ Application The guide is available for free on GOAT Inc.’s official website. ■ E-commerce operations consultation also available Businesses with concerns such as wanting someone to monitor what their current support company is doing, wanting to speak with a specialist in food e-commerce, or running ads without seeing results can consult GOAT Inc. The company supports Rakuten Ichiba and Amazon operations, advertising operations, and sales growth.