FEATURES

Daily forecasts
 Time series forecasting
 Predict future requirements
 Reduce inventory management effort
Analytical approach
Business decisions
Customizable

TECHNOLOGY STACK

AKRA TECH prepared the project well under the time specified. He immediately understood the purpose of the project and provided relevant solutions in our discussions. The final product required no modifications and met the criteria for the project perfectly. We are very likely to return to AKRA TECH for future work.
JOSEPH RICE
Sabaa.org, USA

Inventory Forecasting

Tool to monitor and adjust inventory level requirements for each distribution facility. 

This is the process and platform that we use to bring products into our platform and into our inventory management

Since inventory management is such an important element of our solution and since we have limited distribution space, we have to make sure that we have rentable merchandise in stock.  This tool continuously monitors the activity of every product and category/subcategory and determines which products should be eliminated and which products should expand their selection.  Additionally, this allows us to make room for seasonal items

Building of unified data repository that includes data from all sources

We have built an inventory forecasting tool with the help of python and machine learning to create a forecasting application which uses forecasting technique and time series forecasting model to predict future requirements. This maintains stock for any store and reduces inventory management effort. This provides an analytical report using ml model and enough of historical data. Our forecasting tool provides an analytical approach to take business decisions. 

Our in-house inventory forecasting tool has been built using Python and machine learning model. The inventory forecasting tool can be customized completely as per the client’s requirement.

We have built the tool using the following:

  • Python
  • Flask
  • Machine learning model 
  • Time series methods
  • API Design Methods