LOGISTICS · AI AGENTS

Intelligent Logistics Orchestration, End to End Supply Chain AI

Multi agent AI system orchestrating supply chain decisions, demand forecasting, and logistics workflows in real time.

AI AgentsLogisticsOperations

Timeline 2024
Industry Logistics · AI Agents
Services AI Agent Engineering · Supply Chain AI · Demand Forecasting
Platform Web · AI
Technologies LangGraph, CrewAI, Claude AI, Python, AWS, React
Team Size 8 Engineers
Country Global

THE PLATFORM

Multi Agent AI Orchestrating the Entire Supply Chain

A global logistics enterprise was operating its supply chain through disconnected systems and manual decision making, unable to respond dynamically to demand shifts, supplier disruptions, and logistics bottlenecks.

Spritle built a multi agent AI system that orchestrates end to end supply chain decisions in real time, from demand forecasting and inventory positioning to carrier selection and route optimisation.

The platform processes millions of data points across the supply chain continuously, enabling autonomous decisions for routine logistics workflows while surfacing complex scenarios for human review.

Problem Statement

The Challenges We Were Solving

Business 01

Reactive Supply Chain Management

Demand signals, inventory levels, and supplier availability were reviewed periodically rather than continuously, leading to stock outs, overstocking, and missed delivery windows.

Technical 02

Disconnected Logistics Systems

Warehouse management, carrier APIs, ERP, and demand planning tools operated in silos, requiring manual data collation before any decision could be made.

Business 03

Slow Response to Disruptions

Supplier delays, carrier capacity shortfalls, and demand spikes required hours of manual analysis before a response could be coordinated. By which time the disruption had already propagated.

LET'S TALK

Optimising a complex supply chain?

Spritle builds multi agent AI systems for real time logistics orchestration and supply chain intelligence.

Talk to our team

OUR SOLUTION

Real Time Multi Agent Supply Chain Orchestration

Spritle engineered a fleet of specialised AI agents, each responsible for a supply chain domain, coordinated by an orchestration layer that routes decisions, resolves conflicts, and escalates exceptions to human operators.

Demand Forecasting Agent

Continuously analyses sales signals, seasonality patterns, and external market indicators to generate rolling demand forecasts, automatically triggering replenishment workflows when thresholds are breached.

Logistics Orchestration Layer

A multi agent coordination system assigns carriers, optimises routes, and adjusts delivery schedules in real time, balancing cost, speed, and capacity across the full logistics network.

Disruption Response Agents

Specialist agents monitor supplier feeds, carrier APIs, and inventory levels continuously, detecting disruptions and autonomously executing contingency responses within defined parameters.