Frozen protein retail chain across physical, mobile, and online channels
Swift operates a 500+ location frozen-protein retail network across Brazil with physical stores, supermarket concessions, mobile units, and e-commerce. The tech stack reveals a dual operational track: SAP + S/4HANA for supply-chain and retail operations alongside an emerging AI/ML layer (LLaMA, Mistral, Pinecone, LangChain) for inventory intelligence and LLM deployment at scale. Hiring is heavily sales-focused (225 of 248 roles), yet active projects show a data-science push — inventory loss reduction, vector embeddings, and high-risk product intelligence — suggesting Swift is automating operational pain points (shipment damage, downtime, asset lifecycle) rather than building product.
Swift is a Brazilian frozen-protein retailer founded in 1855 with 1,001–5,000 employees. The company operates across five retail channels: traditional brick-and-mortar stores, concessions within major supermarkets, mobile units serving residential communities, and direct e-commerce. Core operations run on SAP and S/4HANA with legacy warehouse-management systems. The business competes on food safety, fair pricing, and shopping convenience. Recent project work centers on maintenance-program implementation (WCM, TPM), process audits, and equipment retrofit — alongside emerging AI initiatives for inventory management and LLM-based product development, indicating a strategic shift toward data-driven loss prevention and operational efficiency.
SAP, SAP S/4HANA, and WMS for operations; Python, TensorFlow, and scikit-learn for data work; and LLaMA, Mistral, Pinecone, and LangChain for emerging AI/ML capabilities including LLM deployment and vector embeddings.
Inventory loss reduction, shipment damage and cuts, downtime, and maintenance efficiency. Active projects include inventory intelligence for high-risk products, WCM/TPM maintenance programs, and process audits for cost reduction.
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