BackOps AI

BackOps AI builds autonomous agents that automate manual workflows for 3PLs and shippers—like order processing, claims, and quoting. Our AI integrates with existing systems to handle repetitive back-office tasks faster and cheaper than human teams, improving accuracy and customer response times.

Perfect For

Logistics, supply chain, and e-commerce operations teams at retailers, 3PLs, and marketplaces that need to automate customer inquiries, claims, order/shipment updates, and other back-office workflows by using an AI operator that connects to WMS/ERPs, ingests SOPs, executes rules, and resolves issues end-to-end to reduce manual ops and speed case resolution.

Key Strengths

BackOps AI – integrates – 100+ WMS and systems; BackOps AI – automates – end-to-end issue resolution including reshipments and claims; BackOps AI – follows – customer SOPs across formats (PDF, text, audio) for reliable execution; BackOps AI – showcases – real-time ticket handling and inventory/PO lookups.

Considerations

BackOps AI has potential integration and onboarding complexity for enterprise customers. Setting up SOP training, connecting multiple WMS and ERP systems, and customizing edge-case workflows can require significant implementation time and professional services.

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Greg Airel

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BackOps AI

BackOps (BackOps AI) builds Relay, an AI-driven logistics operations platform that automates routine supply-chain and customer-service tasks. Relay connects to communication channels, ERPs, WMS platforms, carrier portals and other systems (100+ integrations) to capture inquiries, surface inventory and PO data, file claims, trigger reshipments, and update systems in accordance with a company’s SOPs. The product emphasizes a human-in-the-loop model so teams retain oversight while automation executes repetitive work and escalates exceptions.

BackOps positions Relay for operations teams in manufacturing, supply chain, shipping and ecommerce that need to reduce manual work and speed issue resolution. The company highlights differentiators including deep logistics domain expertise (teams from Amazon, Apple, Meta, etc.), support for complex edge cases (claims, customs, multi-system workflows), and adaptability to existing tech stacks. BackOps offers proof-of-concept engagements and demo scheduling to get started.

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BackOps AI

BackOps AI

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