ClarusWMS

AI ORCHESTRATION.

This is where it starts to get interesting.

Not one AI tool. Not one agent doing everything.

A network of agents.

Each one trained for a specific job.
Each one handling a specific task.

Order processing. Data handling. Customer comms. Admin.

All working together.

And above that, an orchestration layer.

One agent managing the rest.
Assigning work. Monitoring output. Keeping everything aligned.

Think of it like a digital warehouse manager.

Not replacing your team.

But running a large chunk of the admin operation in the background.

80% plus of the repetitive work handled.

Your team stays in control.
Reviewing. Adjusting. Improving.

Because that’s the reality.

AI won’t be “set and forget”.
It needs managing. Tuning. Keeping sharp.

But once it’s in place, the impact is clear.

Less noise. Faster decisions. A tighter operation.

We’ve broken this down in a short clip 👇

Comment "AI WAREHOUSE" and we’ll send over the full webinar link.

WAREHOUSE ADMIN.

This is where most of the time disappears.

Not on the floor. Not moving stock.
In the background. Repeating the same tasks every single day.

Updating records. Sending emails. Processing orders. Chasing data.

It all adds up.

And it’s exactly where AI should be focused.

Not replacing your operation. Not overcomplicating things.

Just taking the repetitive admin off your team.

That’s been the focus.

Look at what warehouse administrators actually do day to day.
Break it down.
Then build AI around those tasks.

An automation layer that quietly handles the basics in the background.

No robots. No massive infrastructure changes.

Just time saved where it matters.

So your team can focus on the physical operation.
The stuff that actually moves the business forward.

Less admin. More output. Better use of your people.

We’ve captured this properly in a short clip 👇

Comment "AI WAREHOUSE" and we’ll send over the full webinar link.

EMAIL ORDERS.

Still being keyed in manually? That’s a bottleneck.

Orders come in. Someone reads them. Someone types them. Someone double checks them.

It’s slow. It’s repetitive. And it’s where mistakes creep in.

Now flip that.

AI agents can be set up to monitor an inbox, pick up incoming orders, and process them straight into the system.

No manual input. No delays.

You decide how it works.

Auto import and confirm back to the customer.
Or flag it to a human for approval before anything goes live.

You control the rules. You control who it listens to. You control how it responds.

And here’s the key shift.

Start thinking of the agent as part of your team.

It has a role. A responsibility. An inbox. Maybe even a phone number.

It handles the repetitive work so your team can focus on what actually matters.

Faster order capture. Fewer errors. Better response times.

We’ve broken this down in a short clip 👇

Comment "AI WAREHOUSE" and we’ll send over the full webinar link.

AI AGENTS.

Everyone’s talking about them. Most haven’t got a clue how they actually fit into a real operation.

Here’s the truth... this isn’t about generic AI tools. It’s about building something that works your way.

Think of it like this:

You train an agent on a specific job. Not everything, just one process done properly.

A booking diary. Customer comms. Order queries.

You set the rules in plain English.
You define how it behaves.
You lock in the guardrails.

Then you decide how it shows up in your business.

Email only? Fine.
Handling calls? Go for it.
Responding in a specific tone to specific customers? Done.

It’s not replacing your team... it’s taking repetitive decisions and admin off their plate.

And because it’s tailored to your operation, it actually works.

No generic responses. No guesswork.

Just consistent, controlled output... exactly how you want it.

We’ve put together a short clip of Tim breaking this down 👇

Comment "AI WAREHOUSE" and we’ll send over the full webinar link.