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  6. LYNA (Lina) Package Quantity Forecast

LYNA (Lina) Package Quantity Forecast

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last updated:Mar 11, 2021

ライナロジクス
ライナロジクス
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An AI specialized in logistics, making anyone a forecasting expert.

With just 7 days of shipping performance data, it quickly learns and predicts shipping volumes with high accuracy. Even new products without historical data can be automatically estimated by AI. In the shipping field, there are instances where, despite having order data from stores, the packaging and quantity are unknown, making it difficult to predict shipping volumes. "LYNA Packaging Quantity Prediction" addresses this issue. There is no need for any management of product master data. LYNA's unique AI automatically learns the relationship between past order data and shipping volumes, calculating shipping volumes for each store or route.

    Logistics and warehouse management systems
物量予測本番イラスト(笑顔に修正).png

LYNA (Lina) Package Quantity Forecast

物量予測本番イラスト(笑顔に修正).png
物量予測本番イラスト(笑顔に修正).png
  • Related Link - https://lynalogics.com/service/forecast/

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basic information

General machine learning requires vast amounts of training data, which poses challenges in rapidly changing distribution environments, such as product modifications. "LYNA Packaging Quantity Prediction" utilizes a unique learning algorithm specialized for logistics data, developed based on the latest machine learning algorithms, to achieve high-accuracy predictions even from about a week’s worth of training data. Since the learning process is fully automated, no product master data is needed at all. For new products without shipping records, the AI automatically estimates packaging and quantity based on category information. Furthermore, once actual shipments begin, it immediately learns and adjusts from a few days of actual data to enhance prediction accuracy. This frees busy site managers from the cumbersome and time-consuming task of managing size and packaging method masters for each product, eliminating unnecessary burdens and waste for pickers and truck counts with high-accuracy predictions.

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Applications/Examples of results

- Based on the order placement, the AI automatically predicts the actual load (number of baskets, number of weights, etc.). - Since the AI calculates automatically, data organization skills (master management) are not required.

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ライナロジクス

ライナロジクス

Information and Communications

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Rinalogics boasts 20 years of industry experience as a group of specialists responsible for advanced software development. Through results in combinatorial optimization, cutting-edge AI, and algorithm research, we have flexibly adapted to the ever-changing times and environments. As a result, we have gained solid trust and recognition, and have been able to contribute to our clients' business growth. We aspire to be a partner who, together with our clients, tirelessly paves the way to the future beyond growth and a new world.

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