BackOps is an AI-driven platform designed to optimize global supply chain operations by enabling real-time coordination, decision-making, and execution. Built for logistics teams, supply chain managers, and operations leaders in manufacturing, retail, and distribution, BackOps focuses on making supply chains more adaptive and resilient. The platform combines a multi-agent AI architecture with data integrations across systems (ERP, TMS, WMS), allowing organizations to automate decision flows, detect issues early, and coordinate actions across suppliers, carriers, and internal teams. What differentiates BackOps is its focus on agent collaboration, self-healing workflows, and scenario-aware automation.

What are the key features of BackOps?

Multi-agent AI coordination

At the core of BackOps is a multi-agent system where AI agents represent different roles or decision nodes in the supply chain—such as inventory control, carrier selection, or procurement.

• Agents operate autonomously or collaboratively to execute and optimize tasks

• Each agent is task-specific but context-aware, using real-time data

• Enables distributed decision-making without losing strategic oversight

This architecture supports agility and faster response times in global supply chains where variables are constantly shifting.

Self-healing supply chain workflows

BackOps automatically detects disruptions or anomalies in the supply chain and triggers corrective actions without manual intervention.

• Continuous monitoring of delays, shortages, or quality issues

• Automated rerouting, reallocation, or rescheduling based on business rules

• Escalation logic to involve humans when intervention is required

By creating self-healing processes, BackOps reduces downtime and operational friction across the logistics chain.

Cross-system data integration

BackOps connects seamlessly with existing supply chain software, aggregating data across various operational systems.

• Integrates with ERP, TMS, WMS, and other planning tools

• Enables unified visibility across orders, shipments, and inventory

• Supports both real-time and batch data synchronization

This unified data layer provides the context needed for intelligent decision-making and agent collaboration.

Scenario simulation and impact analysis

Users can simulate supply chain scenarios—such as a port closure, factory delay, or demand spike—and assess the potential impact on operations.

• “What-if” analysis tools embedded in the platform

• Impact visualization across affected routes, costs, and delivery timelines

• Helps teams make proactive adjustments to avoid downstream disruption

This feature supports strategic planning and improves preparedness for uncertainty.

Configurable automation with human oversight

BackOps offers customizable automation rules that can be governed, adjusted, or paused by operations teams when needed.

• Rule-based automation for common exception handling scenarios

• Human-in-the-loop options for critical decision points

• Dashboards for monitoring agent activity and intervention history

This balance between automation and control ensures trust, compliance, and adaptability.

To summarize

BackOps equips organizations with an intelligent orchestration layer for the global supply chain. Its key benefits include:

• Collaborative AI agents that mirror key supply chain functions and act autonomously

• Self-healing workflows that minimize manual intervention during disruptions

• End-to-end visibility through data integration with core enterprise systems

• Proactive planning tools that improve response to external and internal risks

• Customizable automation, allowing teams to maintain oversight and flexibility