AI-powered retail location strategy and sales forecasting for healthcare and commercial operators
エムディー株式会社 blends human consulting with AI-driven analytics—its core stack spans Python, TensorFlow, PyTorch, and GCP/AWS/Azure, deployed against location strategy and sales forecasting for retail and healthcare clients. The engineering hiring surge (38 roles, with 52 senior-level hires) and heavy data investment (16 data team openings) reflect an aggressive push to scale proprietary AI products, particularly after a 2023 AI acquisition. The company is simultaneously navigating IPO preparation while managing forecast-accuracy improvement as a persistent internal challenge.
Notable leadership hires: Chief Technology Officer, HR General Affairs Director, Finance Director, System Development Director
エムディー株式会社 operates as a hybrid consulting and technology firm founded in 2018 and headquartered in Minato, Tokyo. The business rests on three pillars: consulting services tailored to physicians and dentists opening or managing practices; development and operation of medical facility complexes in premium retail and transit locations nationwide; and AI-powered sales forecasting and location optimization products (the latter co-developed with Tokyo University and refined through a 2023 acquisition). The company maintains relationships with major real-estate developers and serves multi-unit franchise operators. Active projects span clinic opening support, location strategy, and demand forecasting product development, with an organizational focus on scaling engineering and data talent ahead of planned equity listing.
Core: Python, R, SQL, TensorFlow, PyTorch, scikit-learn. Infrastructure: AWS, GCP, Azure. Visualization: Looker, Tableau, deck.gl, CARTO. Web/app: Next.js, React, Vue, Laravel, PHP. Data: BigQuery, Cloud Run, Vertex AI.
Primary focus: AI sales forecasting and location optimization for retail and healthcare operators. Active projects include forecast algorithm refinement, clinic opening support, location strategy consulting, and demand prediction products. Also managing IPO preparation.
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