How Global Enterprises Predict, Plan, and Deliver With Precision

AI-driven forecasting and optimization enables supply chain leaders to reduce volatility, anticipate disruptions, and operate with efficiency at scale. By combining internal and external data with GenAI reasoning, Turing Intelligence delivers proactive insights and automated decision loops.

Accurate

95% freight forecast accuracy across multi-modal logistics

Responsive

20% decrease in average trip length through dynamic routing

Efficient

30% fewer stockouts and 25% less overstock from demand planning

IndustryRetail
Services usedGenAI

Overview

GenAI is transforming supply chains by replacing manual forecasting and fragmented workflows with intelligent, interconnected systems. With Turing Intelligence, enterprises gain real-time demand visibility, streamlined procurement, and predictive maintenance—reducing stockouts, cutting costs, and improving fulfillment speed. The result is a more resilient, efficient, and adaptive supply chain built for today’s volatility.

Challenges

Supply chain forecasting has historically leaned on legacy statistical models and siloed ERP data. These models fail when faced with real-world disruptions—geopolitical events, weather, regulatory shifts, and volatile consumer sentiment. As a result:

  • Stockouts and overstocks drive revenue leakage and holding costs
  • Manual RFQ and procurement workflows slow sourcing cycles
  • Freight and fulfillment plans lack real-time adaptation
  • Maintenance downtime erodes productivity and compliance

The Turing Approach

Turing Intelligence introduces interconnected, agentic systems that unify forecasting, procurement, logistics, and maintenance. These GenAI agents blend structured enterprise data with unstructured external inputs, translating noise into actionable signals.

What This Enables

  • Forecast demand and supply at SKU × location × time granularity
  • Integrate external factors (weather, regulation, sentiment, competitor actions)
  • Simulate what-if scenarios for promotions, disruptions, and capacity changes
  • Automate RFQs, invoice processing, and vendor onboarding
  • Predict maintenance needs across plants and fleets

Business Impact

  • Forecast accuracy: Up to 95%, reducing empty miles by over 30%
  • Inventory optimization: 30% fewer stockouts, 25% less overstock, 15% cost reduction
  • Procurement efficiency: 70% lower invoice processing costs via automation
  • Fulfillment speed: 20% faster order turnaround with real-time tracking and vendor onboarding
  • Maintenance reliability: 40% fewer unplanned breaks, boosting compliance and uptime

Agent Configuration: Forecasting and Optimization Intelligence

  • Turing’s AI agents manage interconnected supply chain workflows:
  • Forecasting Agent: Multi-source demand, supply, and logistics forecasting
  • RFQ Agent: Automates BOM processing, supplier selection, and quote evaluation
  • Invoice Processing Agent: End-to-end invoice ingestion, validation, and payment
  • Maintenance Copilot: Predicts failures, schedules repairs, validates fixes
  • Optimization Agent: Recommends cost-efficient transport routes and inventory allocations

Why Turing

Turing Intelligence redefines supply chain management as an intelligent system layer. From multimodal orchestration to human-in-the-loop governance, Turing equips enterprises with resilient, adaptive, and explainable AI that delivers measurable ROI.

Real-World Scenario

How a Global Logistics Firm Reduced Delays and Costs With AI

A leading logistics provider faced rising order volumes, vendor onboarding delays, and no real-time visibility during peak seasons. With Turing Intelligence:

  • The Forecasting Agent achieved 95% freight forecast accuracy, cutting empty miles by 30%
  • The Optimization Agent reduced average trip length by 20% with dynamic routing
  • The Fulfillment Copilot automated vendor onboarding, reducing onboarding time by 50%
  • The Support Agent cut ticket resolution times by 30%

The result: 20% faster fulfillment, 15% lower infrastructure costs, and a resilient supply chain system that scales with demand.

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