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Supermarkets turn to AI to power sales, efficiency

Supermarkets turn to AI to power sales, efficiency

NHK WORLD-JAPAN

192 views 9 hours ago 3 min read

Video Summary

Supermarkets are turning to AI to combat rising labor costs and hiring difficulties, with one chain in Fukuoka implementing an AI-powered demand forecasting system. This system analyzes sales, store data, and 15 years of weather information to automatically calculate and order precise quantities of items like somen noodles. The AI also optimizes discounts on prepared foods, surprising staff with recommendations like a 30% markdown when they might have expected only 10%, ultimately reducing waste and improving profits.

This shift to AI is transforming staffing, allowing less experienced employees to manage tasks previously requiring seasoned professionals, thereby reducing workloads. As more companies race to develop similar AI solutions for the retail sector, the technology promises to play an even larger role in supermarket decision-making, from inventory management to dynamic pricing.

Short Highlights

Key Details

AI Solves Retail Labor Challenges [0:07]

  • Supermarkets need skilled staff for sales and purchasing.
  • Rising labor costs and difficulty hiring qualified personnel are major issues.
  • AI is being adopted as a solution to these challenges.

    "So many supermarkets are turning to artificial intelligence for a solution."

AI-Powered Demand Forecasting in Action [0:23]

  • A nationwide supermarket chain in Fukuoka uses an AI demand forecasting system.
  • Developed by an Osaka-based company, the system precisely predicts needed quantities.
  • For example, it instructed the store to stock 20 packages of somen noodles for a Saturday.

    "The AI has clear guidance on exactly how much is needed on the store shelves."

Data-Driven AI for Optimal Ordering [0:44]

  • The AI system integrates eight types of data, including sales, store profiles, and 15 years of weather data.
  • It learns from this data to determine optimal item quantities and ordering times.
  • This has significantly improved staffing efficiency, allowing less experienced staff to perform tasks.

    "But with AI, anyone can do the work, and the employees' workloads are reduced."

AI Optimizes Prepared Food Discounts [1:14]

  • AI is used to dynamically discount prepared foods nearing their expiration.
  • The system suggests optimal discount rates to encourage sales and minimize waste.
  • Staff were surprised when AI suggested a 30% discount, far exceeding their 10% expectation.

    "For these items, the AI suggests a 30 percent discount."

AI's Strategic Discounting Based on Weather [1:34]

  • The AI's discount strategy is informed by predictive data, including weather forecasts.
  • In one instance, it recommended a significant discount anticipating lower foot traffic due to rain.
  • This contrasts with traditional methods relying on manager intuition.

    "Based on the weather data, the AI determined there would be no increase in foot traffic and set a discount to guarantee sales."

Improved Profitability and Reduced Waste [1:54]

  • AI's data-driven approach to discounting prepared foods reduces waste.
  • This leads to improved profit margins for supermarkets.
  • The technology is highly sought after in the retail sector.

    "Until now, discounts have depended on the intuition and experience of on-site managers. But with AI, less prepared food is being thrown away, and profit margins have improved."

The Growing AI Race in Retail [2:10]

  • More than 10 companies in Japan are actively developing AI systems for supermarkets.
  • AI is expected to play an increasingly significant role in future decision-making processes.
  • The development and implementation of these systems represent a competitive race.

    "We're continuing our development work with the view that AI will play an even greater role in decision making going forward."

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