I clienti di Ublique: Aeroporti di Roma
I clienti di Ublique: OVS
I clienti di Ublique: Benetton
I clienti di Ublique: Pirelli
I clienti di Ublique: Conad
I clienti di Ublique: Coop
I clienti di Ublique: Europcar
I clienti di Ublique: Ceva Logistics
I clienti di Ublique: Enel

WHAT MAKES UBLIQUE SO FANTASTIQUE

WHAT IS UBLIQUE?

This is a very complex question. Let’s try to give a simple answer to a complex question:

Ublique is a decision support system composed of a suite of vertical solutions created to help managers in the design and management of complex systems and processes. Its wide range of applications is suitable for users in various markets and industries, from the supply chain to transport planning, from revenue management to demand intelligence.

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UBLIQUE LOVES DATA

Similar to a contemporary gold rush, data have become the resource to conquer for a competitive advantage over your competitors and to win the challenge of innovation.

But data alone are not enough. Decision science turns data into power.

Turn Data into decisions

Ublique is greater than the sum of its parts

Mathematical Optimization modules, dynamic simulators, predictive analytics, and artificial intelligence models are combined together to respond to your specific needs and processes, creating innovative business solutions.

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Ublique is oblique

Ublique is designed to easily adapt to your business process and to be integrated into your legacy IT systems.

Ublique is designed to scale up in terms of the volumes of data, computational load, and number of users.

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UBLIQUE WAS BORN THIS WAY

Ublique was born in 2020, but its story began a long time before.

Spindox acquired the industrial arm of ACT Operations Research, a leader in operations research and specialized in decision-making software and process control solutions with an experience of over 20 years.

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Ublique creation

THE RIGHT DECISIONS MAKE A GOOD STORY

CASE STUDY | RETAIL 

ADVANCED ANALYTICS & ORGANIZATIONAL
CHANGE MANAGEMENT

Advanced analytics applied to the distribution process of a grocery retailer.

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CASE STUDY | RETAIL

WAREHOUSE OPTIMIZATION & SIMULATION

Process re-engineering via math-optimization and simulation technology applied to an extensive picking distribution center in the retail industry.

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CASE STUDY | CAR RENTAL

FLEET CAPACITY ANALYSIS & REVENUE MANAGEMENT

Advanced prescriptive analytics & machine learning for optimized capacity and revenue management.

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