Development of an Optimized Industrial Hose Selection Application

An industrial hose supplier faces difficulties managing an extensive product catalog, making it complex for staff to quickly identify suitable hoses based on material, application, and media type. This hampers operational efficiency and consistency in product recommendations, highlighting the need for a streamlined, accessible decision-support tool available across devices and offline scenarios.

A manufacturing company specializing in producing and distributing industrial hose solutions, aiming to enhance product selection efficiency and internal knowledge sharing across its technical teams.

• Create a cross-platform web application that enables staff to input various parameters and receive instant, accurate hose recommendations.
• Implement offline functionality to ensure usability in environments with unreliable internet connectivity.
• Streamline internal product selection processes to improve operational efficiency and reduce decision-making time.
• Enhance data validation and update mechanisms to maintain accurate and up-to-date product data.
• Ensure seamless accessibility across desktop and mobile devices, including tablets and smartphones.

• Multi-parameter input forms including Nominal Diameter, Max Media, Preferred Material, and application type.
• Instant calculation engine utilizing stored formulas and logic to recommend appropriate hoses.
• Dynamic display of product details and suitability status in a user-friendly table layout.
• Offline support to allow full functionality without internet access.
• Data validation mechanisms to ensure input accuracy before processing.
• Cache-based formula and condition storage for rapid computations.

• Product database API or data feeds for current hose specifications and details
• Authentication systems, if applicable, for enterprise user access
• Validation services to ensure data consistency

• Application should support seamless operation across desktops, tablets, and smartphones.
• Offline functionality must remain reliable for users in remote or connectivity-challenged environments.
• User inputs must be validated and sanitized to prevent errors and ensure data integrity.
• System response time should be under 2 seconds for calculations and data retrieval.
• Security protocols must safeguard user data and system access.

The deployment of this decision support tool is expected to significantly reduce product selection time, improve accuracy of hose recommendations, and enhance internal knowledge sharing. Targeting an increase in operational efficiency, the system aims to facilitate faster customer orders, reduce errors, and improve overall service quality, leading to higher customer satisfaction and potential revenue growth.