Project Summary

The project aims to boost fleet operating efficiencies through the introduction of specific algorithms for freight consolidation, as well as mobile hub and CoolRun features. The Algorithm People team will conduct a feasibility study by leveraging advanced machine learning and AI algorithms along with Hubl’s CoolRun Pods and local supply chain networks. The focus is on exploring opportunities for freight consolidation through a simulated network design that combines static and mobile consolidation hubs with click-and-collect nodes. This approach differs from the traditional bottom-up approach by using an algorithm-based methodology to input desired objectives and optimise lower-level infrastructure and resource parameters.

Project Achievements

The outcomes of our project directly address DfT’s priorities • Capital investment, recruitment and service provision at local level >> benefits local economy • Agnostic, edge of city consolidation hubs >> intermodal transfer from diesel HGV’s to LCVs supporting LEZ/ULEZ compliance; HGV operation on SRN not LTN, quick turnarounds and return loads, improving fill rates and efficiency • Outcomes & IP are globally exportable

Conclusions

We have demonstrated potential mileage and emissions savings through specific combinations of freight consolidation spanning inbound supermarket roll cage deliveries, pallet networks and parcel deliveries using vans and last mile cargo bikes, in tandem with existing freight hubs and Click & Collect hubs. Hubl’s CoolRun roll cages remove all transport refrigeration emissions, increase vehicle payloads, supports fleet electrification, inbound & outbound goods, ambient & chilled in same non-refrigerated vehicle. The Algorithm People’s AI-driven algorithms and machine learning capabilities were demonstrated to improve delivery efficiencies by >20%. There is potential to double this with additional consolidated freight, mobile hub & CoolRun features.

Next Steps

Having established a variety of key operating parameters and constraints, The Algorithm People would be open to utilising thi s knowledge to support a consortium of operators who would be interested in carrying out a real-world trial. We have demonstrated that The Algorithm People’s advanced AI algorithms are capable of optimising routing and sequenci ng plans for delivery of consolidated freight across a number of collaborating operators, which would place us at TRL level 5 or 6.