TORI+ Digitization of the Last Mile in Beasain

CONTEXT

The rise of e-commerce, along with urban challenges arising from congestion and pollution, has driven the need to rethink traditional last-mile delivery models. Municipalities like Beasain face growing challenges in terms of logistics efficiency, environmental sustainability, and the competitiveness of local commerce. Given this scenario, the "TORI Etxez-etxeko banaketa jasangarria Beasainen" initiative emerged. This pilot proposal combines smart lockers and sustainable electric bicycle delivery services for local commerce, with the aim of transforming urban logistics in an environmentally friendly, socially inclusive, and technologically advanced way. The initiative was promoted by a consortium made up of entities with complementary experience in innovation, sustainable urban logistics, and digital technologies.

The new TORI+ pilot project is intended as an evolution of the TORI initiative, consolidating the delivery model and conducting industrial research activities to generate new knowledge from this model, incorporating layers of digitalization, expanding its reach, and facilitating impact assessment.

OBJECTIVES

The specific objectives of TORI+ are:

• Consolidation and scaling of the operating model: Expand the last-mile service by increasing the number of smart lockers, users, and participating merchants, ensuring a volume of activity that enables the digitalization of last-mile delivery and validates its viability as a core service for Beasain.
• Comprehensive digitalization of the urban delivery ecosystem: Deploy electric fleet management tools, smart urban planning, and interoperability between agents, enabling a connected, efficient, and sustainable mobility ecosystem.
• Achieving a positive impact on sustainability and accessibility: Implement monitoring systems to measure the environmental and social impact of the service, adapting operations to improve logistical efficiency and ensure inclusive access to the service.
• Data-driven predictive sizing and optimization: Use predictive analytics models to optimize delivery operations based on demand patterns and system behavior, improving efficiency and service quality.
• Enabling the environment for CCAM solutions in last-mile delivery: Preparing the physical and digital infrastructure necessary for the future incorporation of CCAM technologies applied to sustainable urban distribution.
• Validation of scalability and territorial replicability: Demonstrate the model's effectiveness in a broader environment, generating solid evidence to support its adaptation and deployment in other municipalities in Gipuzkoa and the Basque Country.