Dark Store Pick Path Optimiser: what this AI agent does and how to use it

Try the Dark Store Pick Path Optimiser live demo →

What it does

The Dark Store Pick Path Optimiser agent is the specialist for this job: orders pick lists by shelf location so dark-store pickers finish express orders within the promised minutes.

Who it's for

Your team. It runs in the console for your staff and through the REST API. It is a team agent, so it is never exposed to shoppers.

Questions it answers

Ask it in any of our languages, for example:

• "Optimise the pick path for express order HC-1003"
• "How should pickers walk the Business Bay dark store?"
• "Sequence the picks for order HC-1003 by aisle"

The live demo shows these as sample prompts in your language, on a fictional store's data.

How it works

1. It understands the question in the language it was written in, even when your catalog is in another language.
2. It looks things up with tools, never from memory:

• Order and delivery status
• Read-only sql over your retail data (sandboxed per workspace)

3. It answers from your data, in your brand voice and currency, and shows which tools it used.
4. Rules stay in code. Prices, eligibility and permissions come from your data and settings; the agent explains them and can't invent them. Why this matters.

The data it needs

Orders, Order lines, Stock batches. As soon as these tables are loaded, the agent is ready to switch on. Files can use your own column names: they're mapped automatically. See Connect your data.

Works well with

• Basket Completion Nudger: Suggests products customers often add to baskets like this one, to raise basket size.
• Rider ETA Updater: Tells customers where their express or delivery order is, when it will arrive, and handles delay questions.
• Live Substitution Approver: Lets customers approve or reject substitutes in chat while the picker is still at the shelf.
• Dark Store Slotting Planner: Places fast movers near packing stations and re-slots weekly as demand shifts.
• Rider Dispatch Balancer: Plans riders per hour for each dark store from order demand, batching potential and the promised time.

Your team can use them side by side in the console, or call each one through the API.

Turn it on

1. Load the data it needs.
2. Install Dark Store Pick Path Optimiser from the Agent catalog and add your own instructions (guide).
3. Test it in the Playground, in every language you serve.
4. Invite your team or call it from your own systems.

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