Agentic Co-Workers for Inventory Decisioning
Upstream is an inventory intelligence and decisioning platform, and AI agents are how it runs at volume. Agentic co-workers do the repetitive research, valuation, listing, and routing across returns, overstock, and recommerce, so people work the exceptions. It is AI platform agnostic, with deep MCP integration and no vendor lock-in.
The Problem
The decisioning work does not scale on people alone
Every unit in the death pile needs research, a value, a listing, and a routing decision. Across returns, overstock, and orphaned freight, that is a high volume of small, repeatable tasks.
Done by hand, the work is slow and uneven, and it caps how much inventory a floor can actually clear. The volume is real — US retail returns hit $849.9B in 2025, and only 48% of returned goods resell at full price, which means the rest needs a per-unit decision someone has to make. The instinct is to hire more people for the research and listing work, but that scales cost as fast as it scales output. The work itself — identifying, valuing, listing, routing — is exactly the kind of repetitive, high-volume task that should run on agents, with people kept for judgment and exceptions.
How Upstream Solves It
Agents run the framework, people run the exceptions
Agentic co-workers execute Identify, Triage, Route, Monetize across every unit, at machine speed and consistency. No barcode required.
Identify
Agents recognize each unit from a scan and pull a match, including unlabeled and orphaned freight.
Triage
Agents grade condition consistently, running 2 to 3x the throughput of manual inspection.
Route
Agents assign each unit a disposition by value and prepare listings across channels.
Monetize
Agents move units toward their best recovery path, across your channels, the Vendidit buyer network, or both.
Item-level disposition recovers 60% to 80% of MSRP when agents make a real decision on every unit, against 20% to 30% for blind bulk liquidation.
Platform-Agnostic by Design.
Upstream is AI platform agnostic, so you are not tied to one model or one vendor. Deep MCP integration lets the platform connect into the systems you already run and lets software partners build on top of it. The result is an open decisioning layer that fits your stack rather than replacing it.
Agentic Co-Workers
AI agents handle the repetitive identification, valuation, listing, and routing work across every unit.
AI Platform Agnostic
Run on the AI platform that suits you, with no dependence on a single model or vendor.
Deep MCP Integration
Connect into the systems you already run and let partners build on the platform, no rip-and-replace.
People on the Exceptions
Agents clear the high-volume work so your team spends its time on judgment calls and edge cases.
Open Partner Surface
Software partners extend the decisioning layer through MCP rather than rebuilding it.
Excel3PL uses the platform to streamline reverse logistics and increase recovery value, and Amazon Return Centers run massive-scale automated volume on Upstream.
Who It's For
For any operator drowning in per-unit decisions — and the software partners who want to embed that capability.
3PL & Reverse Logistics
Operators who want to clear more inventory per shift without scaling headcount at the same rate.
CPG Brands
Brands who want to clear more returns and overstock per shift without scaling headcount at the same rate.
Industrial Manufacturers
Manufacturers who want to clear more overstock and stranded inventory per shift without scaling headcount at the same rate.
Solution Providers
Software partners who want to build on an open, platform-agnostic decisioning layer through deep MCP integration.
See What Agents Recover at Your Volume
Put your volume against the recovery gap and see the number, then read how running the work on the platform drove a 500% lift in 90 days with no added labor.