Buyer problem
Teams need to know what inventory they really have, where risk is changing, and what action should move first.
Inventory intelligence
Available nowSee how much you have, what is at risk, and what needs action first.
Zerqano turns stock state, coverage pressure, and reorder logic into a working decision surface so teams can move from risk review into governed replenishment action.
Current posture
This solution is supported by current product proof and is actively marketed as a live capability.
In-product proof
What inventory intelligence software looks like in the current product.
The public story now moves straight into route-backed proof so the claim stays tied to how the workflow actually behaves.
North-star pages use current foundation routes as proof, not hypothetical product surfaces.
Inventory OpsInventory Workbench
Inventory pressure is reviewed with enough context to act confidently.
The workbench turns SKU-level stock pressure into a decision surface with coverage, reorder logic, and the route into downstream execution.
Coverage
18 days
Current stock, demand, and lead-time pressure combined.
Suggested order
240 units
Policy-aware quantity already framed for review.
Service level
95%
The recommendation keeps service expectations visible during review.
Workbench checks
top 2Validate the reorder point against live demand pressure
StableThe operator sees stock state, policy, and recommendation in one place.
Use supplier and document context before escalating quantity
WatchThe next action should reflect the real operating situation, not just the math.
Step 1
Stock context
Step 2
Demand context
Step 3
Recommendation
Step 4
Procurement handoff
Outcome
Inventory planning stops being a report and becomes a working screen for governed replenishment decisions.
Problem framing
Why this workflow breaks today.
Inventory pressure is often discovered late, reviewed in separate tools, and handed off manually into procurement.
Inventory operations, replenishment teams, branch leaders, and planners managing daily stock decisions.
Stock risk is still discovered manually
Operators often notice the problem through floor checks, urgent messages, or stale reports instead of a ranked daily queue.
The planning case has to be rebuilt every day
Coverage, reorder policy, supplier timing, and demand context often live in different places when the team needs to act.
Execution handoff breaks the context
By the time the team moves from inventory review into procurement, the reason behind the action is already fragmented.
Current proof
What exists now
- - Show stock risk, coverage pressure, and reorder logic in one working surface.
- - Rank the inventory issues that deserve action first instead of flooding teams with flat alerts.
- - Connect inventory review directly to procurement, pricing, and document signals.
- - Keep decision rationale visible through approval and execution.
Operational proof
- - Built around command center and inventory workbench, not static reporting alone.
- - Connects inventory state to demand, supplier, document, and pricing context.
- - Supports role-aware decision flows for operators, analysts, and leadership.
Trust and explainability
- - Inventory recommendations stay tied to the stock context, reorder logic, and next workflow instead of showing up as isolated alerts.
- - The platform supports review and approval rather than blind automation, which matters when working capital is involved.
- - Connected inventory decisions are easier to trust because demand, supplier, and document context can still be inspected.
Connected system
This workflow gets stronger because it is connected to the rest of ItemIQ.
01
Open the ranked daily queue of inventory issues.
02
Inspect stock context, service level, and reorder pressure in the workbench.
03
Route the reviewed action into procurement or related workflows.
04
Keep the decision linked to the original operating case.
Where it expands next
Expands into broader scenario simulation, deeper supplier recommendation, and more explainable revenue impact modeling.
Connected modules
Related solution pages
Demand intelligence
Demand Intelligence Software
Use forecast-backed demand signals to guide inventory, procurement, and pricing decisions with less guesswork.
Procurement intelligence
Procurement Intelligence Software
Turn replenishment pressure into faster, better-governed procurement decisions with supplier and document context attached.
Document intelligence
Document Intelligence Software
Ingest messy operational documents with OCR, AI classification, review, confidence, dedupe, and downstream routing into the Zerqano operating system.
FAQ
Questions teams ask during evaluation.
The emphasis is on reviewed action. Zerqano surfaces risk, shows what changed, and routes the operator into the workflow that resolves the issue.