Today’s supply chains rely on ERP, planning, execution, and partner systems but intelligence is often fragmented and disconnected. Supply Chain AIssist unifies these into a connected, intelligent ecosystem. It infuses AI across your existing processes and systems to enhance planning, execution, and performance.
Built as part of the AIssist Enterprise AI Platform, it works with your ERP, planning tools, execution systems, and supply ecosystem to amplify operational intelligence without replacing technology you already run.
Supply Chain AIssist integrates data and context from ERP, planning, manufacturing, and execution systems to create a unified operational view across suppliers, plants, warehouses, logistics partners, and customers.
This enables teams to operate with a shared understanding of demand, supply, inventory, capacity, and fulfillment across the enterprise.
Today’s supply chains rely on ERP, planning, execution, and partner systems but intelligence is often fragmented and disconnected. Supply Chain AIssist unifies these into a connected, intelligent ecosystem. It infuses AI across your existing processes and systems to enhance planning, execution, and performance.
Built as part of the AIssist Enterprise AI Platform, it works with your ERP, planning tools, execution systems, and supply ecosystem to amplify operational intelligence without replacing technology you already run.
Supply Chain AIssist integrates data and context from ERP, planning, manufacturing, and execution systems to create a unified operational view across suppliers, plants, warehouses, logistics partners, and customers.
This enables teams to operate with a shared understanding of demand, supply, inventory, capacity, and fulfillment across the enterprise.
Planning and forecasting
Supply Chain AIssist analyzes historical, operational, and external signals to support:
Planning teams operate with continuous intelligence instead of periodic reports.
Constraint-aware manufacturing and network coordination
Supply Chain AIssist monitors plant capacity, throughput, material availability, and production schedules to surface emerging constraints early and support coordinated planning across plants and product lines.
Operations teams gain network-level visibility into production risk and capacity utilization.
Network-wide visibility into materials and stock
Supply Chain AIssist continuously evaluates inventory positions across plants, warehouses, and distribution centers to support:
End-to-end order execution visibility
Supply Chain AIssist tracks orders across manufacturing, warehousing, and logistics to provide:
From manual firefighting to guided resolution
Supply Chain AIssist embeds AI into operational workflows to:
Operational intelligence across the extended supply network
Supply Chain AIssist connects supplier, contract manufacturer, and logistics partner systems into a single operational layer — enabling performance monitoring, risk visibility, and coordinated execution.
Reduction in manual cross-system analysis, eliminating SAP → Excel → email dependency loops.
Faster scenario/data modeling, enabling leadership to evaluate tradeoffs in hours instead of days.
Fewer ad-hoc IT reporting requests,
freeing teams to focus on other prioritized IT deliveries.
Reduction in margin leakage by identifying cost-driven risk early in the order and production lifecycle
Improvement in cash-flow predictability by aligning revenue recognition with realistic fulfillment timelines.
Improvement in inventory turns for priority SKUs, driven by better demand-supply alignment.
AIssist delivers measurable impact by reinforcing existing systems with intelligence — not replacing them. Our clients have improved planning cycles, execution reliability, and coordination across internal and partner networks.
A large global pharmaceutical company was managing a highly complex demand environment shaped by rapid SKU proliferation, tender-driven volatility, and fragmented planning data across multiple systems. Forecasts were difficult to trust, and planners spent hours navigating reports with little ability to simulate scenarios or take direct action. With an AI-powered SCM agent, the organization introduced a new planning experience-combining machine-learning forecasting, MEIO-based inventory optimization, and natural-language interactions in Microsoft Teams- so planners could analyze demand shifts, run simulations, and trigger actions directly in enterprise systems through a single intelligent workflow.
A large global pharmaceutical company was managing compliance documentation and vendor change requests through fragmented systems and email-driven workflows, creating audit risk, long processing cycles, and heavy QA workloads. To modernize its compliance operations, the organization deployed an AI-powered QMS & ACR agent that automated document classification, semantic search, vendor communication, and TrackWise-integrated ACR creation with full audit trails. The new operating model enabled teams to process change requests faster, improve traceability, and run audit-ready compliance workflows directly from Microsoft Teams.
A large global pharmaceutical company was managing API (Active Pharmaceutical Ingredient) change requests through a highly manual, email-driven process involving document validation, impact assessment, and regulated approvals across quality, supply chain, and ERP systems. As volumes grew, turnaround times increased and compliance risk rose. Saxon AI implemented an agentic AI solution that automated 80–90% of the API Change Request lifecycle by interpreting vendor communications, classifying change types, validating documentation, creating ACRs in the Quality Management System, and routing approvals through a human-in-the-loop model. The result was a faster, audit-ready, and scalable compliance operating model for regulated API workflows.
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