Software Development Company Portfolio - HQSoftware - Page 4

See How We Approach Business Objectives

Check out Our Projects

The vast knowledge we have accumulated since 2001 is now applied to current projects. For more details of projects completed by our team, feel free to contact us at team@hqsoftwarelab.com or submit an online form.

A real time road traffic safety system min 550x299 - Portfolio

A Real-time Road-traffic Safety System

HQSoftware has created a traffic safety tool that provides real-time traffic updates on speed traps, dangers on the road, and accidents.

WMS for retail suppliers min 550x299 - Portfolio

Comprehensive Platform to Facilitate Collaboration with Suppliers: 2x Faster Supplier Onboarding

HQSoftware has developed a user-friendly supplier management platform that streamlines the onboarding process for new suppliers and provides a centralized interface for efficient collaboration.

Technologies Used:

Case WMS predictive analytics banner min 550x299 - Portfolio

Warehouse Management System with Customer Demand Forecasting: 34% Decrease in Inventory Costs

HQSoftware developed a warehouse management system with real-time data visibility and integration of predictive analytics that transformed the client’s logistics operations, decreasing inventory costs by 15%

Technologies Used:

App for exploring Arctic regions 550x299 - Portfolio

A Cross-Platform Mobile App for Exploring Arctic Regions

HQSoftware has developed a cross-platform mobile application that allows users to discover information about local flora and fauna, climate, meteorological metrics, marine pollution, etc. in arctic regions, to help in developing expedition routes and delivering supplies and equipment to research stations.

Technologies Used:

Case WMS navigation banner 550x299 - Portfolio

Cross-platform Mobile App for Enhanced Warehouse Navigation: 25% Faster Order Picking

HQSoftware developed a cross-platform mobile app with advanced warehouse navigation capabilities. With it, the customer reduced order picking time by 25% and achieved order picking accuracy of up to 99%.

Technologies Used:

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