See more about the solution here:https://apro-software.com/predictive-model-in-warehouse/Creation of sales/demand forecasting model  based on machine learning and big data. We have used all possible variables as weather, economic situation, demographics, promotions, competition, price sensitivity) to create model that forecast the demand for products  with much better results.We make sales forecasting model for distribution and auto spare part company. The difference between classic ERP extrapolation prediction and machine learning forecastClassic ERP systems use for forecast extrapolation of past numbersThis becomes an issue when some variables as weather is significantly changedProfio engine adds the variables in the forecastingThis makes it more accurate (even by 40%) How it worksWe run the data and variables through statistical modelling each day.We then choose the best model for each item.The system learns by itself from the past. It improves each day This has these implications for the companyIncrease of Service Level up to 99%Elimination of the stock-outsInventory decrease by 25%They increase the sales by increasing the availability of goods on shelves for clients TechnologyBig Data variablesNeuro NetworksMachine learningStatistical Modeling Other possible clientsThe ideal client is a company with more than 700-1000 items in the warehouse.Spare part distributionRetail stores chains (food, drugstores, pharmacies)Pharmacy distributionFood productionGenerally distribution companies McKinsey predicts machine learning will reduce supply chain forecasting errors by 50% and reduce lost sales by 65% with better product availability.

Check out for more info here: https://apro-software.com/camshooter-app-for-samsung-camera/We have developed a solution that allows automating photo-taking and uploading procedures during stock-in in the warehouse. What the customer requiredLimal is an operator of an e-shop called Rozbaleno.cz (unpacked). It is a store specializing in selling already unpacked goods from other e-shops.When clients return the products, for e-shops it is better to sell these goods to Limal. Then Limal will sell it on auction portals and on its own e-shop Rozbaleno.cz.This market focus makes pressure on Limal logistics because each product that is received is basically different.The employees of Limal had to take pictures of each product and then they uploaded it on the server and it was very time-consuming to put tags on these products.Limal needed some solution that would make this process more efficient. Results Achieved·       Faster and efficient stock-in in warehouses of the company·       Automated process of uploading photos on the server·       Extreme time savings in warehouse·       Native Android app on Samsung camera Platform / Android (Samsung cameras).

Check out for more info about this project here: https://apro-software.com/olympics-intranet-based-on-sharepoint/ We developed an intranet solution for our Irish digital marketing client on the MS SharePoint platform What the client requiredCybercom requested from APRO the implementation of an intranet solution based on Microsoft SharePoint for one of their clients – Coca-Cola Global IT. The task·       Implement document libraries based on Microsoft SharePoint·       Implement media library with the ability to watch videos directly from web·       Apply a custom graphical design to the SharePoint platform.