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Optimizing Container Load for Parcel and Pallet Transport Networks

Project description

AI-driven software for delivery trucks and vans

Transport is a big source of greenhouse gas emissions, and cities are feeling the brunt of last-mile deliveries. Scenes of delivery trucks and vans whirring across town or stuck in traffic are common. It is also common for trucks to be driving around half-empty due to poor line-haul capacity utilisation in groupage parcel and pallet networks. This leads to significant CO2 emissions, congestions, traffic jams, high noise levels and low margins for logistics companies. In this context, the EU-funded PrEDICTS project will bring to market cargo optimisation software based on AI and machine learning. The new solution will take a logistics company’s historical data, cleanse and enrich it and optimise logistics based on shipping behaviour predictions. Moreover, it will suggest ways of better capacity utilisation.

Objective

EU trucks are driving around with an average of 43% empty space due to poor linehaul capacity utilization in groupage parcel and pallet networks. This leads to important CO2 emissions, congestions, traffic jams, noise levels and low margins for logistics companies. The underlying problem is a data quality issue as shipments are planned based on weight whilst they actually fill up based on volume and dimension.
PrEDICTS is a cargo optimization software based on AI and machine learning. It takes a logistics company’s historical data, cleanses and enriches it and optimizes logistics based on predictions for shipping behaviour weeks. It also identifies future excess capacity and suggests strategies on how to achieve full capacity. Our beta client recorded a 10% increase in capacity utilization and 7-9% cost savings (French Post / DPD).
Transmetrics is a Bulgarian company whose mission is to improve the efficiency within the cargo transport industry using big data and artificial intelligence. DHL has identified us twice as a future leader in anticipatory/predictive logistics and big data and featured in the Business Insider report on AI Supply Chain and Logistics (more info). We have 22 employees and had €150,000 in revenue in 2017. For 2018, we have already secured €30,000 in monthly revenue (€20,000 licenses and €10,000 in services).
With PrEDICTS, Transmetrics targets the top 20,000 transporters (€20+M in revenues) that account for 40% of the total industry. They will need advanced technology to thrive. PrEDICTS competes with two major incumbents and another innovator. But it is the only solution that integrates prediction and optimization in the process and features AI-driven data cleansing and enrichment.
PrEDICTS will follow a SaaS subscription-based business model priced at €10k/country/month depending on the business with a potential of 200-300% increase in the price based on the achieved benefits for the companies.

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Topic(s)

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Funding Scheme

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SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

TRANSMETRICS AD
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
KNYAZ BORIS I STR. 164, FLOOR 2
1000 Sofia
Bulgaria

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Югозападна и Южна централна България Югозападен София (столица)
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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