Workflow 01
Inventory + Demand Agent
Stock level monitoring → reorder triggering → demand-prediction adjustments → stockout-risk flagging → carrying-cost optimization. Continuous.
By function · Logistics
Inventory that auto-corrects. Supplier scorecards that stay current. Shipping decisions per order.
Inventory levels that auto-correct against demand. Supplier performance tracked continuously, not annually. Shipping decisions optimized per order. Returns processed without manual triage. Warehouse productivity that responds to bottlenecks before they cascade. That's the agentic logistics shape, and the cross-functional signals make it compound.
Agent workflows we deploy
Five concrete workflows, not abstract claims.
Each workflow is a multi-step orchestration with a visible task log and an outcome metric. Zyos builds the foundation first, then runs these workflows for you and oversees them.
Workflow 02
Supplier Performance Agent
Delivery data ingestion → on-time rate calculation → quality scorecard → risk flagging → renegotiation prep → alternative-supplier recommendations.
Workflow 03
Shipping Optimization Agent
Order intake → carrier + service-level selection → cost optimization → tracking → exception handling → customer notification. Per-order, not per-RFP.
Workflow 04
Returns Handling Agent
Return request → reason classification → resolution path (replacement / refund / repair / restock) → customer communication → root-cause feed to product / quality.
Workflow 05
Warehouse Productivity Agent
Pick rate monitoring → bottleneck detection → resource reallocation suggestions → shift-planning recommendations → exception escalation.
BI signals
What this function generates, and what it consumes from the rest of the business.
The cross-functional integration is what makes agents compound. A signal generated here often triggers action somewhere else.
Generated
- Stockout rates
- Carrying cost trends
- Supplier on-time rates
- Shipping cost per order
- Returns rate by category
- Warehouse productivity metrics
Consumed
- Sales demand signals
- Finance cost data
- IT system telemetry from warehouse systems
- Customer-success feedback on delivery experience
Software + integrations
The stack we integrate.
WMS, TMS, ERP, supplier portals, carrier APIs, demand-planning platforms, integrated through Zyos OS. Cross-function dependence on Sales (demand) + Finance (cost) + Operations (process changes). Capability language only.
Operations changes
What the team experiences in the first 90 days.
- 01Inventory decisions: weekly planning → continuous adjustment.
- 02Supplier reviews: annual → continuous scorecards.
- 03Shipping decisions: rate-table-driven → per-order optimization.
- 04Warehouse work: static shift plans → responsive reallocation.
Business outcomes
Where the agents do the work.
The mechanism behind each outcome, not a promised number. Where you start is surfaced by Process Intelligence Implementation, the first delivery cycle.
| Outcome | What the agents do |
|---|---|
| Stockout rate | Agents monitor stock, trigger reorders, and flag stockout risk continuously, so shelves stay covered. |
| Carrying cost | Agents balance reorder timing against demand, so capital isn't tied up in excess inventory. |
| Shipping cost per order | Agents pick carrier and service level per order instead of a static rate table. |
| Returns processing time | Agents classify returns and route each to the right resolution path without manual triage. |
| Warehouse productivity (units per hour) | Agents spot bottlenecks and suggest reallocation before a delay cascades. |
Customer Success cadence
How the results stay proven, quarter over quarter.
QBR slide tracks stockout trend, supplier scorecards, shipping cost trend, returns rate, warehouse productivity. OKRs typically tie to working capital + customer delivery experience + cost-to-serve.
Ready when you are
Start with a measurement.
The Opportunity Engine intake routes by function. Pick this one in the bottleneck question and the diagnostic will identify the two or three workflows worth deploying first. Zyos builds the foundation first, then runs the agents for you as a managed service on zyos.io.