Services
Intelligent Supply Chain and Autonomous Replenishment
Intelligent Supply Chain and Autonomous Replenishment
Engineering of agentic AI and Digital Supply Chain Twins that simulate upstream and downstream consequences enabling autonomous end-to-end replenishment and complex tariff exposure modeling across global networks. Sub-services include digital supply chain twin development, autonomous inventory replenishment AI, predictive logistics routing ML, and supply chain supplier risk AI modeling.
Digital Supply Chain Twin Engineering
Development of AI-powered, real-time digital replicas of physical supply chains that simulate upstream and downstream consequences, enabling autonomous scenario planning and risk mitigation before real-world impact.
Autonomous Replenishment Agent Development
Engineering of agentic AI systems that autonomously monitor inventory, predict stockouts, and execute purchase orders by interfacing with supplier APIs and procurement platforms, reducing manual oversight by 80%.
Predictive Logistics Routing AI
Development of machine learning models that forecast optimal shipping routes and modes by analyzing weather, traffic, port congestion, and geopolitical events, cutting transit times and fuel costs by up to 25%.
Supply Chain Risk Intelligence Modeling
Building of AI systems that aggregate and analyze multi-modal data (news, tariffs, supplier financials) to predict and score supplier, geopolitical, and compliance risks, providing early-warning alerts for disruptions.
Intelligent Tariff Exposure Modeling
Development of AI models that dynamically calculate and forecast the impact of complex, changing international tariffs and trade agreements on total landed cost, enabling proactive sourcing and pricing strategies.
Multi-modal Inventory Optimization AI
Integration of AI that fuses data from IoT sensors, warehouse management systems, and sales forecasts to autonomously balance inventory across channels and locations, minimizing carrying costs while maximizing fill rates.
Supply Chain Simulation and Scenario Planning
Engineering of advanced simulation environments using reinforcement learning to stress-test supply chain strategies against thousands of 'what-if' scenarios, from natural disasters to supplier bankruptcies.
Autonomous Freight Management Systems
Development of end-to-end AI platforms that autonomously tender loads, select carriers, track shipments in real-time, and manage exceptions, reducing freight management overhead by over 60%.
Supply Chain Carbon Footprint AI Tracking
Implementation of AI systems that automatically calculate and attribute Scope 3 emissions across complex, multi-tier supply chains, ensuring accurate reporting for ESG compliance and sustainability goals.
Supply Chain Knowledge Graph Development
Architecture of semantic knowledge graphs that map entities (suppliers, parts, facilities, regulations) and their relationships, enabling complex querying, root-cause analysis, and intelligent agent reasoning.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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Review the use case
We understand the task, the users, and where AI can actually help.
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Pick the right approach
We define what needs search, automation, or product integration.
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Build the first useful version
We implement the part that proves the value first.
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Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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