Amazon Brazil is deploying Optilogic’s AI-driven supply‑chain design platform to enhance delivery speed and optimise network planning across all 27 states, marking a significant shift towards data‑driven logistics strategies in the region.
Amazon is deploying an AI-led supply‑chain design platform in Brazil in a move it says will speed deliveries and support data‑driven network and transportation planning across all 27 states. The initiative, announced by Opti...
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According to the announcement, Amazon Brazil will use Optilogic’s Cosmic Frog for large‑scale optimisation and scenario modelling and DataStar for automated data preparation and validation. The firm said these capabilities will allow faster model iteration and greater transparency when evaluating complex supply‑chain decisions. “Optilogic enables us to explore these trade‑offs through sophisticated scenario modeling, helping our teams better understand the implications of different design and transportation strategies,” said Felipe Moraes, Head of Supply Chain and Integration at Amazon Brazil.
Optilogic framed the work as part of a broader push to move supply‑chain modelling from protracted projects to more rapid, repeatable analysis. The company claims its platform combines artificial intelligence, mathematical optimisation and simulation to let enterprises answer “what‑if” questions in near real time. “By starting with focused, high‑value use cases and expanding over time, Amazon Brazil is building a scalable foundation for continuous, data‑driven supply chain optimization that will benefit millions of Brazilian customers,” said Max Mascarenhas, Vice President of Americas at Optilogic.
The rollout in Brazil follows recent product and commercial signals from Optilogic. The vendor launched DataStar late last year as an agentic AI tool aimed at automating data transformation and enabling “always‑on” supply‑chain design, a capability the vendor says shifts teams from quarterly projects to continuous strategic responses. Optilogic has also publicised a strategic partnership with a Brazilian consulting firm to bolster local analytics and operations expertise, and has been recognised in industry awards for accelerating model build times.
Analysts and customers familiar with large, geographically diverse networks caution that modelling gains do not automatically translate into operational improvements. Trade‑offs between delivery speed, cost and environmental impact often require changes in physical infrastructure, labour models and carrier contracts; scenario outputs are useful only insofar as organisations can act on them. The Optilogic materials acknowledge this, describing the work as an iterative programme that starts with focused use cases and can broaden to influence transportation strategy and fulfilment planning over time.
Optilogic’s recent case list also includes collaborations with global manufacturers seeking to test network resilience and inventory strategies, which the company presents as evidence of the platform’s applicability beyond e‑commerce. The firm said its cloud approach requires no on‑premises IT footprint and is supported by a team of supply‑chain specialists focused on rapid value delivery.
Amazon did not provide independent performance figures with the announcement. The company’s statement reiterated long‑standing priorities of improving customer experience while pursuing operational efficiency and environmental responsibility. Debate remains over how quickly AI‑driven modelling will change ground operations in markets with complex logistics dynamics such as Brazil, but the partnership signals that major retailers continue to invest in advanced scenario tools as part of broader supply‑chain modernisation efforts.
Source: Noah Wire Services



