Our Deep-Learning-Based prediction can help to resolve manufacture industrial pain points on predicting Last-Time-Buy spare parts. Our solution can solve these 3 critical challenges.
01 / COST
Excessive last time buy prediction will create extra inventory cost lost and storage cost during the process. These cost lost have a huge impact on manufacture's profitability. With our accurate prediction, the cost will be greatly reduced.
02 / SERVICE LEVEL
Insufficient spare parts prediction will cause customer service level low. Low customer service level will impact customer satisfaction and manufacture needs to spend extra cost to make up for the customers. Our solution can keep the service level without taking the risk/cost of excessive inventory.
03 / LIMITED DATA
For consumer electronics, the last-time-buy prediction happens within months after product launch. The data is limited and make it hard for manufacture's to predict.
With our deep learning algorithm, we can learn from parts' repair history and provide accurate prediction.