Modules / Agentic Workflows

Agentic Workflows

The autonomous brain of BackchannelOS. NeuralFlow agents monitor demand signals and execute complex distribution logic with zero manual oversight.

Autonomy vs. Automation

Traditional Automation

Strict if-this-then-that rules. Breaks when new variables (e.g. erratic factor delivery) aren't explicitly coded.

Backchannel Agentic

Agents understand the goal (e.g. "Maximize margin for new Western collection"). They reason across multiple datasets to find the optimal path.

Pre-built Agents

Stock Rebalancing Agent

Monitors sell-through rates across 500+ points of sale. Identifies slow-moving SKUs and triggers redistribution to high-velocity regions.

Critical: Reduces inventory waste by 24%

Dynamic Payout Auditor

Automatically reconciles ERP sales records with partner payouts. Identifies discrepancies in wholesale margins and triggers clawbacks or rebates.

High: Saves average 12h/week in manual audit

Yield Optimizer

Adjusts B2B storefront pricing in real-time based on factory batch availability and seasonal demand indicators.

Medium: Improves gross margin by 8-12%

Supply Chain Sentinel

Monitors factory batch discrepancies and proactively holds shipments if quality thresholds aren't met in the ERP metadata.

Critical: Prevents brand damage from faulty stock

Custom Agent Logic

You can deploy custom agents using our NeuralFlow DSL (Domain Specific Language).

@agent.monitor(inventory_level < 50)
@agent.action("rebalance")
# Define the logic to pull from nearest warehouse
workflow.execute({
target: "B2B_STOREFRONT",
source: erp.get_optimal_warehouse(),
quantity: 200
})