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.

See more about the case study here:https://apro-software.com/bbs-shoes-mobile-application/  This project involved the development of iOS and Android mobile applications for an online shoe store. Results Achieved·       2 applications (1 API, 1 UI/UX), 1 approach·       Simple and User-friendly UI and UX were developed by Apro·       An advanced management system for mobile catalogs was implemented·       Wired-range devices and screen resolution support·       The solution is in the pre-publishing phase Technology·       Android·       Java·       Kotlin·       Swift (only for iOS) IntroductionE-commerce is now an essential component of any business, even for small and medium-sized companies.The project developed for the BBS.Shoes brand concerned the creation of an iOS and Android app to manage their online store. What the client requiredOur client needed mobile applications for iOS and Android platforms.These applications had to be extremely user-friendly for customers, taking into account that many of them have old devices.In addition, the apps had to use the same API of the brand website “www.bbs.shoes”. How we did itThe system was developed by a team of 6 people (iOS Developer, Android Developer, PM/Analyst, Graphic designer, and two QA engineers).Our client received the mobile applications and the back-end part within 4 months.One of the most challenging parts of the project was the integration between the app and the company’s invoice, payment, and backorder systems.www.bbs.shoes  What we have implemented for our clientArticles catalog with filtering and searching options·       A single article view with adjustments for API data fields·       Shopping cart with payments integrations·       Advanced delivery preferences·       A user account with Invoices and Backorders management·       A special registration and login process synchronized with the main website ConclusionThe client has received mobile applications and backend part within 4 months developed by a team of 6 people (iOS Developer, Android Developer, PM and Analyst, two QA engineers, Graphical designer) "I must say that the App looks great! Nice work of you and the team!"Thibaut Van Assche

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).