  The disruption of supplies during the Covid-19 crisis has led to shortages
but has also shown the adaptability of some companies, which have succeeded in
adapting their production chains quickly to produce goods experiencing
shortages: hydroalcoholic gel, masks, and medical gowns. These productive jumps
from product A to product B are feasible because of the know-how proximity
between the two classes of products. The proximities were computed from the
analysis of co-exports and resulted in the construction of the product space.
Based on the product space, as well as the customer-supplier relationships
resulting from the input-output matrices, we propose a recommender system for
companies. The goal is to promote distributed manufacturing by recommending a
list of local suppliers to each company. As there is not always a local
supplier for a desired product class, we consider the proximity between
products to identify, in the absence of a supplier, a substitute supplier able
to adapt its production tools to provide the required product. Our experiments
are based on French data, from which we build a graph of synergies illustrating
the potential productive links between companies. Finally, we show that our
approach offers new perspectives to determine the level of territories'
industrial resilience considering potential productive jumps.
