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Improving the Value of Products and Services

NEC provides solutions that enable effective product and service life cycle management and help customers design attractive new products and services.

Predictive Analytics Solution for Fresh Food Demand

Features

NEC's original Heterogeneous Mixture Learning Technology accurately forecasts demand for perishable food products, leading to much lower disposal rates.

Heterogeneous Mixture Learning––a proprietary NEC technology––analyzes correlations between hourly sales, disposal rate and out-of-stock data, and weather forecasts to provide accurate demand forecasts. The technology automatically calculates optimal order amounts based on demand forecasts, stock in stores, and delivery schedules, leading to lower disposal rates for perishables, optimized stock management, and improved purchasing efficiency.

Customer needs

To eliminate lost sales opportunities caused by stockouts and minimize disposal rates for perishable food products.

Key benefits

  • Generate prediction formulas for demand forecasts by learning from archives.
  • Input weather forecasts and future calendar events in prediction formulas to calculate future demand.
  • Calculate an optimal number of orders based on demand forecast figures, current stock, and delivery quantities.

Key technologies

Heterogeneous Mixture Learning Technology––automatically identifies multiple regularities in a variety of different data.

Electric Power Demand Forecasting Solution

Features

NEC's original Heterogeneous Mixture Learning Technology produces accurate electricity demand forecasts to enable power generation consistent with demand.

Heterogeneous Mixture Learning Technology analyzes employee work information, weather information, and various other data affecting power use to forecast future electricity demand and facilitate the energy savings required to realize an environmentally friendly society.

Customer needs

  • To use electricity efficiently by implementing effective energy management.
  • To generate the power generation and procurement plans required to effectively operate as an electricity provider.

Key benefits

  • Automatically calculate relevant factors and their importance by using a variety of data relating to power use.
  • Eliminate time-consuming, complicated manual tasks of data partitioning for analysis.
  • Forecast future electricity demand by hour, day, week, or month.

Key technologies

Heterogeneous Mixture Learning Technology––automatically identifies multiple regularities in a variety of different data.

Related cases

A link is opened in a new window.Obayashi Corporation

NEC helps Obayashi Corporation generate precise power demand forecasts using big data related to human activity and weather conditions, leading to improvements in energy usage efficiency.

Predictive Analytics Solution for Demand of Repair Parts

Features

NEC's Heterogeneous Mixture Learning Technology accurately forecasts demand for spare parts to optimize inventory management.

NEC's original Heterogeneous Mixture Learning Technology analyzes information regarding delivery quantities, running devices, and how much time has passed since product release dates in order to forecast future demand for parts.

Customer needs

To reduce stock in the central warehouse (hub for local delivery) and streamline the ordering process.

Key benefits

  • Learn past trends in spare part orders to generate a demand prediction formula.
  • Input information such as latest spare parts shipment records, equipment quantities, and failure rates into the prediction formula to forecast future shipment requirements.

Key technologies

Heterogeneous Mixture Learning Technology––automatically identifies multiple regularities in a variety of different data.

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