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servizio: AI-powered consulting

TUPLES

Written by giada.optit on .

In 2024–2025, as part of the European project TUPLES – Trustworthy AI, the European aerospace leader AIRBUS partnered with Optit to design and manage a competition on a logistics planning problem, focused on the storage and load planning of cargo for the Airbus Beluga XL. These cargo aircraft require a complex load movement, both inbound and outbound, managed through a bidirectional, multi-queue rack system. From this complexity arose the need to launch a competition to assess different approaches proposed by the scientific community across three key areas:
  • deterministic and probabilistic scenarios, to optimise load plans under fixed or uncertain conditions linked to arrivals and departures;
  • explainability, to clarify infeasibility issues and propose alternative solutions.
To address this challenge, Optit developed a Competition Platform designed to manage complex competitions and accurately replicate real-world industrial cases. The platform enables the simulation of realistic and complex industrial scenarios, ensuring repeatable, traceable and reliable assessments, both in terms of performance and solution quality. Key features of the Competition Platform include:
  • iterative evaluations using algorithms under probabilistic conditions;
  • integrated GenAI with LLM available to participants for explainability challenges;
  • isolated, reproducible executions automatically orchestrated by the Optit platform, designed to ensure robustness and reliability.
The impact was significant for both participants and organisers: a real and high-level testbed for researchers and professionals in the fields of decision-making and Trustworthy AI. Participants engaged with real industrial use cases, working alongside experts and high-profile researchers, while the organisers benefited from an adaptive and scalable platform that simplified the management and evaluation of the challenge throughout its entire lifecycle. Our work provided AIRBUS with a competition platform capable of managing challenges of varying complexity, integrating heterogeneous and innovative solution approaches, and accelerating their adoption.

United Nations Environment Programme

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As part of the United Nations Environment Programme’s District Energy in Cities Initiative, Optit was selected as ENOVA’s technical partner for a high-impact pre-feasibility study: the interconnection of Belgrade‘s district heating networks with the aim of optimising the system and increasing its sustainability by integrating new waste heat sources.

The project, carried out in collaboration with Beogradske Elektrane and the University of Belgrade, was designed to enhance the recovery of excess heat from production plants outside the city and of harnessing the energy produced by a new waste-to-energy plant, redesigning the distribution system around newly designated regions.

To achieve this, Optit deployed its OptiDEN platform, simulating over 100 potential interconnection scenarios. The model accounted for both the technical and economic constraints, providing a detailed assessment of the necessary investments and potential efficiency gains.

The result? An in-depth, clear and decision-oriented analysis which enabled:

  • the identification of the most advantageous solutions in relation to both economic and environmental return;
  • the reduction of CAPEX (Capital Expenditure) estimated at several million euros;
  • the showcasing of a real use case for Digital Twin in advancing  urban energy policies.

Liquigas

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To strategically address the evolution of its distribution network, Liquigas, one of the leading Italian operators in the supply of LPG and LNG, has chosen Optit as a consulting partner. 

There were two main objectives:

  • to optimise existing distribution by reducing costs and gaps in service provision;
  • to evaluate future scenarios, simulating the expansion of both the client base and storage hub network.  

The Optit team developed a proprietary algorithm which can be integrated into company systems through interactive “Dashboards-as-a-Service”, to simulate and compare alternative distribution configurations.

The model:

  • calculates the optimal customer-storage allocation, minimising overall costs;
  • models the entire logistics flow, from the primary loading base, to storage, all the way to delivery;
  • streamlines the reallocation of drivers and operators, maximising the resource yield.

The algorithm was tested using historical data and benchmarked against a meaningful baseline.

The optimised proposal achieved a 4.3% reduction in total costs across the entire supply chain, with measurable impacts at every stage of the process. This result reaffirms the robustness of the method in enabling a more effective, sustainable and scalable distribution.

SEI Toscana

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SEI Toscana, the sole operator of environmental services for ATO Toscana Sud (including the provinces of Arezzo, Grosseto, Siena and six municipalities in the province of Livorno), has partnered with Optit to fully transform the provision of its services. The aim: to improve operational efficiency, track performance and generate value for local communities using a systemic approach that combines consultancy with technological solutions.

The project is rooted in a shared vision of innovation, sustainability and the importance of data. As a first step, Optit developed a modular model capable of addressing a wide range of priorities and initiating multiple courses of action.

  • Collection optimisation: with OptiRoute, real data is used to streamline services, fine-tuned to the needs of local areas, vehicle characteristics and drivers.
  • Management control and operational KPIs: together with the SEI Toscana team, Optit identified relevant field data to monitor the effectiveness of services and build performance indicators suitable for use across all levels of the company.
  • Logistics redesign: thanks to OptiWasteFlow, the waste management logistics network was strategically reviewed, allowing for the generation of optimised and measurable outcomes.

The key to success is the “rule of engagement”: a consultancy approach integrated with the systematic use of the best-suited digital technological solutions at each stage of the process (design, simulation, implementation, monitoring).

The result is a replicable model that improves the governance of environmental services by increasing transparency, response capacity and returns, both economic and environmental.  

Con Edison Steam

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In the heart of Manhattan, Con Edison operates one of the largest and most historic steam distribution networks in the world: 170 kilometres of pipes that supply steam for heat, hot water, air conditioning, sterilisation, and humidification to iconic buildings such as the Empire State Building, the Metropolitan Museum of Modern Art, the New York Stock Exchange, Macy’s, and the World Trade Center.

In today’s energy transition landscape, this infrastructure faces the challenge of balancing service continuity, operational efficiency and ambitious decarbonisation goals.

Since 2022, Optit has been a strategic partner to Con Edison on this journey. Starting with an in-depth analysis of existing digital systems, Optit developed a full Digital Twin of the steam system, based on our OptiEPTM platform. The tool enables the simulation of complex scenarios and the optimisation of steam generation, improving operational margins, and reducing emissions. In the first case study, emission reductions of several percentage points were identified without requiring infrastructure investments.

In parallel and in collaboration with a global consulting firm, Optit supported the “Steam Decarbonization Project,” simulating the integration of new technologies such as heat pumps, electric boilers, and long-duration thermal storage systems; all aimed at full decarbonisation of the Steam System by 2050.

Optit’s approach and simulation modelling combined strategic vision with technical feasibility, providing Con Edison with a concrete roadmap towards climate neutrality.

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