Spanish technology company offers parametrizable staff shift-scheduling module based on mathematical optimisation in Spain; sector validation, integration and commercialisation.
Customisable staff shift-scheduling module for any sector, based on mathematical optimisation | Enterprise Europe Network
Term of Validity: 17 September 2026 - 17 September 2027
Summary - Profile Type - Technology offer - POD Reference - TOES20260917007 - Term of Validity - 17 September 2026 - 17 September 2027 - Company’s Country - Spain - Type of partnership - Commercial agreement with technical assistance - Research and development cooperation agreement - Targeted Countries - All countries General information - Short Summary - A Spanish technology company specialised in optimisation and decision-support systems offers a parametrizable staff shift-scheduling module that adapts to the real constraints of organisations in any sector with shift-coverage needs: industry, retail, hospitality, logistics, security, call centres, etc. Unlike standard commercial tools built on fixed rule sets, this module is customised for each organisation. Partners are sought for sector validation, integration and commercialisation. - Full Description - Most commercial shift-scheduling applications are built on a closed set of constraints designed to fit as many sectors and organisations as possible. This forces companies to adapt their way of working to the software, instead of the software reflecting their reality: sector agreements, in-house job categories, seasonal or time-slot demand patterns, staff availability and preferences, local labour regulations, sector-specific shift rotations, or resource constraints (machinery, spaces, licences). The result is poorly-fitted schedules, overtime overspend, regulatory non-compliance and excessive reliance on manual planning. The module is built on mathematical optimisation as its core, allowing the explicit, transparent and verifiable modelling of each organisation’s and sector’s own rules: labour law, collective agreements, mandatory rest periods, incompatibilities, staff skills and coverage needs by shift, area or category. This core is complemented, when the use case requires it, with machine learning and AI techniques to forecast staffing needs from historical demand data (customer flow, production volume, seasonality, absenteeism), combining mathematical robustness with predictive, adaptive capability. The module can be deployed independently or integrated with an organisation’s existing information, HR or ERP systems via connectors or APIs, allowing a progressive, modular rollout: first as a planning support tool, later as an automated schedule-generation system with human supervision. - Advantages and Innovations - - Real adaptation instead of generic constraints: the system is modelled on the actual rules, agreements and needs of each organisation and sector, instead of forcing operational reality into a predefined model. - Mathematical optimisation at its core: solutions are verifiable and explainable, making validation by planning teams easier. - Combined with AI where needed: predictive staffing-demand models can be incorporated depending on the use case, without depending on them as the sole basis for decisions. - Multisector approach: the same technological core adapts to different sectors, reducing development time for new deployments without losing local relevance. - Flexible deployment: integrable with existing information, ERP or HR systems, or usable as a standalone tool. - Compliance by design: labour rules, agreements and mandatory rest periods are built in as explicit model constraints, reducing the risk of non-compliance. - Stage of Development - Available for demonstration - Sustainable Development Goals - Goal 9: Industry, Innovation and Infrastructure - Goal 8: Decent Work and Economic Growth - IPR status - Secret know-how Partner Sought - Expected Role of a Partner - Companies in any sector with shift-based staffing needs, software integrators and HR consultancies, to pilot, validate and help commercialise the module in their sector or market; and research
technology partners for R&D cooperation projects to adapt the module to new sectors or specific use cases. - Type and Size of Partner - SME 11-49 - Big company - SME 50 - 249 - Other - Type of partnership - Commercial agreement with technical assistance - Research and development cooperation agreement Dissemination - Technology keywords - 01003010 - Databases, Database Management, Data Mining - 01004012 - Operation Planning and Scheduler System - 01003003 - Artificial Intelligence (AI) - 01003006 - Computer Software - 01004008 - ERP - Electronic Resources Planning - Market keywords - 02007014 - Other industry specific software - 07002005 - Other retailing - 05007005 - Hospital and other institutional management - 09004008 - Other manufacturing (not elsewhere classified) - 09003005 - Consulting services - Targeted countries - All countries