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aHead Research supports Spindox in the implementation of AI-based solutions
The clients of Spindox that have profited from the application of algorithms developed by aHead Research belong to several areas:
RETAIL & GDO
Areas in which the leading actors constantly seek support algorithms for planning and buying goods, optimizing prices, forecasting demand and optimizing the supply chain
manufacturing, logistics & intra-logistics
Sector in which most requests have to do with modeling, simulation, and prediction-based optimization.
DIGITAL MARKETING & TRADING
Areas for which we develop algorithms of machine learning (e.g., Natural Language Processing), prediction of time series and optimization.
AUTOMOTIVE
Where the most requested algorithms are those of predictive maintenance and optimized management of the vehicle fleet.
FINANCIAL SERVICES
With algorithms of customer segmentation, optimization and risk management.
ENERGY & UTILITIES
In this sector, we develop algoriyhms of matematical and stochastic optimization and prediction of time-series, for example for balancing demand and offer of energy, optimizing the stockpile of spare parts for the maintenance of the power plant.
RETAIL & GDO
Areas in which the leading actors constantly seek support algorithms for planning and buying goods, optimizing prices, forecasting demand and optimizing the supply chain
manufacturing, logistics & intra-logistics
Sector in which most requests have to do with modeling, simulation, and prediction-based optimization
AUTOMOTIVE
Where the most requested algorithms are those of predictive maintenance and optimized management of the vehicle fleet
digital marketing
& trading
Areas for which we develop algorithms of machine learning (e.g., Natural Language Processing), prediction of time series and optimization
financial services
With algorithms of customer segmentation, optimization and risk management
ENERGY & UTILITIES
In this sector, we develop algoriyhms of matematical and stochastic optimization and prediction of time-series, for example for balancing demand and offer of energy, optimizing the stockpile of spare parts for the maintenance of the power plant