Augmented Intelligence for logistics

Description du projet

Une IA pour l’optimisation logistique

Dans le secteur du transport maritime, le stockage et le déplacement des conteneurs vides représentent une large part des coûts et des émissions de CO2. Il est essentiel d’enregistrer quotidiennement la demande de fret et de prévoir les variations potentielles en fonction des vacances, des conditions météorologiques extrêmes, des fluctuations du marché et d’autres facteurs. Des outils basés sur l’IA peuvent augmenter l’efficacité opérationnelle et réduire la consommation carbone et les coûts associés. Le projet Transmetrics, financé par l’UE, élaborera un produit de nouvelle génération conçu pour les clients intermédiaires qui prédira la gestion des actifs et optimisera les prévisions. Cela simplifiera également l’installation pour une mise à l’échelle rapide et un cycle de vente plus rapide.

Objectif

"Logistics assets like shipping containers are expensive to store and expensive to move, yet 1 in 3 of them is moved empty, costing €18B/yr. This leads to increased CO2 emissions and lower margins for logistics companies. The underlying problem is knowing day-to-day cargo demand and predicting how it might vary based on holidays, weather, seasons, market fluctuations, and more.
Our expertise is predictive analytics for logistics. Global consulting firm Roland Berger places us in the fast-growing ""Booking & Optimization Platforms"" sector. Our competitive advantages include an advanced AI-based data cleansing stage which lets us use real-world low-quality data.
Our tools help cargo companies to increase their operational efficiency, cut carbon, and reduce costs through
1) demand forecasting (based on historical data and external factors) and
2) predictive asset use optimization (shipping containers, railcars, trucks, etc).
Our first-generation product, NetMetrics for large companies, required manual installation and hand-tuning. Pilot customer DPDgroup recorded a 14% increase in capacity utilization. 9% fewer trucks were on the road, as per new EU CO2, NO2 and particulates emissions reduction targets.
After a successful Phase 1 application, our feasibility study showed need for this EIC Transmetrics project for midsize clients:
• Develop predictive asset management functionality
• Aggregate logistics data of multiple companies to bring the statistical certainty of large numbers to forecasts for our mid-sized clients.
• Aggregate relevant external databases to improve forecasting
• Simplify the adoption of our system with try-before-you-buy ease, for quick scaling
• Productize data-cleansing stage to allow faster sales cycle and scale-up
Transmetrics, our next-generation product, will bring similar efficiency improvements to mid-sized logistics companies, which account for 30% of the transport industry.
We plan to reach €+32M revenues by 2024."