Talk to your warehouse. The system answers — and acts.
Every Invenits customer gets their own AI — trained on your clients, retailers, SKUs, floor layout, machinery. Voice in, voice out, hands-free on the floor.
Most warehouse AI is read-only. Ours is read-write through approval gates.
Every customer gets their own AI, trained on their warehouse.
It knows your clients, your retailers, your SKUs, your floor layout, your machinery. Ask which orders are at risk of missing today's cutoff. Ask why a chargeback happened last week. Ask where lot 4421 is right now. Tell it to re-prioritize a wave, hold a shipment, reroute a pallet.
Read-and-write actions go through approval gates and audit logs. The AI is the interface; the MOS still runs the floor on proven automation. Both layers stay auditable, independently.
Voice or text. Hands-free where it matters.
Type a question or speak it. The AI is the interface to the platform — connecting to the MOS, the data layer, the integrations, the dashboards. One chat window for the whole system.
Voice support means floor supervisors can ask the AI questions while walking aisles, without taking their hands off the work. CSRs can run multi-step queries on a client's open orders without leaving their phone call. The AI is wherever you are.
All voice interactions are transcribed and audit-logged. The text record is the same record. There's no "voice mode" that bypasses governance.
Text in, text out
type a question, get a structured answer with drill-down
Voice in, voice out
ask while walking the floor; hands-free in noisy environments
Multi-turn conversation
follow-up questions land in context — no re-prompting
Cross-system reach
MOS, data layer, integrations, dashboards — one query surface
AI proposes. Humans approve. MOS executes.
The AI doesn't act unilaterally on your operation. Every write action — re-prioritize a wave, hold a shipment, change an SOP, push a config — generates a proposal that routes to a human approver with full context.
This separation is deliberate. AI is great at understanding intent and surfacing patterns; the MOS is great at executing operations reliably. Forcing one to do the other's job is how warehouse AI projects fail. We don't do that. The AI proposes. The operator approves. The MOS executes. The audit log records all three.
Approval gates are configurable per action class. Low-risk informational changes can route to a single approver and clear in seconds; high-risk operational changes route to a multi-step approval. Your governance, your rules.
Read-only by default
the AI answers questions; no actions taken without explicit approval
Action proposals
AI-recommended changes packaged with context, risk, and reasoning
Configurable approval flows
per-action-class workflows — single or multi-step
Full audit trail
every query, every proposal, every approval, every action — logged
Your data trains your AI. Nothing else.
Your AI is yours. Trained on your data. Accessed only by your team. Isolated from every other Invenits customer. No cross-tenant model contamination. No use of your operational data for any other purpose.
This matters because your retailer relationships, your client routing rules, your supplier negotiations, and your operational data are competitive information. The AI gets to learn from it because it's running your warehouse — not because it's training a model anyone else benefits from.
Per-customer model
your operational data trains your AI — and only your AI
Encryption at every layer
data isolated, encrypted at rest and in transit, scoped to your tenant
Access control
your team's authentication scopes; no Invenits-wide access
Auditable training
what data was used, when, by which retraining run — all logged
Talk to your warehouse.
Live demo of the AI running queries and proposing actions inside a real customer's data.