{"id":4542,"date":"2023-10-16T10:55:32","date_gmt":"2023-10-16T01:55:32","guid":{"rendered":"https:\/\/utecon.net\/nikkei-utecon-consumables-market-forecast-released-october-2023-edition\/"},"modified":"2023-10-16T10:55:32","modified_gmt":"2023-10-16T01:55:32","slug":"nikkei-utecon-consumables-market-forecast-released-october-2023-edition","status":"publish","type":"post","link":"https:\/\/utecon.net\/en\/nikkei-utecon-consumables-market-forecast-released-october-2023-edition\/","title":{"rendered":"Nikkei-UTEcon Consumables Market Forecast Released October 2023 Edition."},"content":{"rendered":"

Nikkei-UTEcon Consumables Market Forecast Released October 2023 Edition!<\/h2>\n

UTEcon analyzes the Nikkei POS data and provides monthly sales forecasts.<\/p>\n

You can utilize the service for revising manufacturing plan, specifying growing markets etc.<\/p>\n

There are five characteristics.<\/p>\n

    \n
  1. 217 categories and a wide range of consumer goods<\/strong>
    \nForecasts are made for each of the 217 categories (referred to as \u201cLarge categories\u201d in Nikkei POS Information) of 36 genres of consumer goods provided by Nikkei POS data.<\/li>\n
  2. High Forecasting Accuracy
    \n<\/strong>In about 70% of the categories, the average annual error rate is within 15%.<\/li>\n
  3. Monthly updates and forecasts up to 6 months ahead
    \n<\/strong>Updated monthly to forecast sales per thousand customers up to 6 months ahead and percentage change from last year.<\/li>\n
  4. Forecasts by manufacturer and region
    \n<\/strong>Forecasts are provided for the top three manufacturers in each category as well as for 10 regions nationwide.<\/li>\n
  5. You can purchase only the reports you need
    \n<\/strong>Annual contracts \u00a0and one-time purchases for individual categories are available.<\/li>\n<\/ol>\n

    Product Page<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

    Nikkei-UTEcon Consumables Market Forecast Released October 2023 Edition! UTEcon analyzes the Nikkei POS data and provides monthly sales forecasts. You can utilize the service for revising manufacturing plan, specifying growing markets etc. There are five characteristics. 217 categories and a wide range of consumer goods Forecasts are made for each of the 217 categories (referred to as \u201cLarge categories\u201d in Nikkei POS Information) of 36 genres of consumer goods provided by Nikkei POS data. High Forecasting Accuracy In about 70% of the categories, the average annual error rate is within 15%. Monthly updates and forecasts up to 6 months ahead Updated monthly to forecast sales per thousand customers up to\u2026\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[2],"tags":[],"class_list":["post-4542","post","type-post","status-publish","format-standard","hentry","category-news"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\n\t\t\n