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Agentic Automation

Autonomous Order Fulfillment Agent

LogiFlow

Multi-agent system that cut order processing time by 65% with autonomous fulfillment workflows.

Overview

Project Overview

LogiFlow manages fulfillment operations for a network of 12 warehouses processing 80,000+ orders daily. Manual order routing, inventory verification, and exception handling created bottlenecks that capped throughput and drove up error rates.

AgilizTech deployed a multi-agent system that autonomously manages order routing, real-time inventory checks, carrier selection, and fulfillment workflows — reducing order processing time by 65% while achieving 99.7% accuracy.

Industry

Logistics & Fulfillment

Timeline

14 weeks

Tech Stack

Multi-Agent SystemEvent-Driven ArchitectureReal-time Inventory APINode.jsAWS

The Challenge

What problems needed solving?

1

Manual Order Routing

Warehouse managers manually assigned orders to fulfillment lanes based on experience, resulting in suboptimal routing and frequent warehouse-to-warehouse transfers.

2

Inventory Synchronization Lag

Stock levels updated every 15 minutes, causing 8% of orders to be routed to locations with insufficient inventory — triggering costly backorders.

3

Exception Handling Bottleneck

12% of orders required manual intervention for address validation, payment issues, or special handling — each taking 15-20 minutes to resolve.

4

Carrier Selection Inefficiency

Shipping method selection relied on static rules that didn't account for real-time carrier capacity, pricing fluctuations, or delivery promise optimization.

The Solution

How AgilizTech delivered results

1

Intelligent Order Routing Agent

Built an agent that evaluates inventory levels, warehouse proximity, carrier availability, and delivery SLA to route each order to the optimal fulfillment location in real time.

2

Real-Time Inventory Mesh

Created a sub-second inventory synchronization layer across all 12 warehouses, eliminating stock-level lag and reducing misrouted orders to near zero.

3

Autonomous Exception Handler

Deployed an AI agent that auto-resolves common exceptions — address corrections, payment retries, and substitution suggestions — without human intervention.

4

Dynamic Carrier Optimization

Implemented a carrier selection agent that evaluates real-time rates, capacity, and delivery performance to select the best shipping option for each order.

The Benefits

Measurable business impact

65%

Processing Speed

Reduction in average order processing time — from 45 minutes to under 16 minutes.

99.7%

Order Accuracy

Fulfillment accuracy rate, virtually eliminating mis-ships and wrong-item errors.

3.2x

Throughput

Increase in daily orders processed without adding warehouse staff or infrastructure.

23%

Shipping Costs

Reduction in per-order shipping costs through dynamic carrier optimization.

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