Optimize spend and protect margins with an AI-agentic sourcing platform - Stozia reads engineering drawings, runs sourcing workflows, benchmarks supplier quotes, and generates should-cost and offers negotiation guidance. It works across direct, indirect, CAPEX, and finished goods procurement categories.
Captured across tail spend categories.
Driven by techno-commercial normalization.
With agents handling repetitive sourcing steps end-to-end.
With structured RFQs, comparisons, and negotiation packs.
Sourcing in manufacturing is uniquely complex - messy specifications, inconsistent master data, and critical requirements buried inside engineering drawings and long PDFs, leading to slow decisions and hidden margin impact.
Slow, manual, error-prone processes that drain engineering and procurement time, and make every RFQ harder to track, compare, and audit.
Critical technical details remain invisible, locked inside engineering drawings and long PDFs - weakening standardisation and negotiation leverage.
Little to no real-time price benchmarks or reliable should-cost references before negotiations, so "fair price" is mostly guesswork.
Negotiations are driven by instinct and fragmented data rather than should-costs, cross-supplier comparisons, and market realities.
Meet the autonomous agents behind every sourcing decision.
Autonomously manages the end-to-end RFQ lifecycle — from vendor outreach to techno-commercial evaluation — so your team focuses on decisions, not admin.
Discovers and validates alternate suppliers beyond your legacy list, expanding the competitive landscape and improving your negotiation leverage automatically.
Reads engineering drawings and BOMs to compute accurate should-cost references, applying category-specific cost drivers and material indices for precise benchmarking.
Sets data-backed negotiation targets, identifies gaps and risks in vendor proposals, and provides real-time pricing and leverage intelligence throughout the cycle.
From complex strategic sourcing to high-volume tactical events, powered by a single manufacturing-first workflow.
Reads engineering drawings, specifications, and requirement documents to extract sourcing-ready technical context.
Generates should-cost references automatically so teams can benchmark quotes before negotiation and award decisions.
Supports Direct, Capex, and Indirect buying, including made-to-order parts and non-catalog requirements.
Interprets technical + commercial terms and compares suppliers in real context, not just by headline unit price.
Adjusts for freight, payment terms, risk, and compliance to compare on true landed cost and practical fit.
Purpose-built intelligence trained around sourcing realities in manufacturing, not a generic conversational layer.
Real impact delivered across manufacturing leaders.
Challenge: Decentralised sourcing, compliance gaps, and reliance on a limited set of known vendors.
Impact:
Challenge: Unmanaged indirect spend, ad hoc sourcing, and weak audit trails across plants.
Impact:
Challenge: Bypassed procurement, over-reliance on legacy suppliers, and limited visibility into who is buying what, from whom, and at what price.
Impact:
"Automation saves time. Intelligence creates value."
Request a personalized demo and see how Stozia's agentic intelligence can transform your procurement workflows.