Neurolabs · Databricks Partner

Your Lakehouse Knows the Plan. Now It Can See the Store.

Neurolabs delivers shelf-level Execution Intelligence straight into your Databricks workspace as governed Delta Sharing tables, ready for Genie and your own dashboards. No new portal, no new silo.

Annotated energy and soft drinks shelf image above the resulting Unity Catalog table of SKU detections, showing facings, price and an out-of-stock flag
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Neurolabs
where to start

Request the Free Sample or Talk to Our Team

Request the free sample

Any Databricks customer can request a sample of our Execution Intelligence Dataset on Databricks Marketplace. We approve requests within one business day.

Free sample · Databricks Marketplace

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Talk to our team

Book a walkthrough to talk through your execution challenges and how Execution Intelligence fits your Databricks environment.

30 minutes · Online

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See it in action

See Execution Intelligence in Databricks

Panel showing 76% coverage across 222 stores, 98% of products at RRP, 26 OOS situations and 91% POSM compliance
Execution signal overview scoring promotion, price, availability and display as in-window, compliant, act now and verified
the execution gap

The Advantage Isn’t More Data. It’s Acting in Time.

Most organisations already have more dashboards, reports and shelf observations than ever. The challenge is timing.

By the time insights reach decision-makers, the shelf has changed, the visit is over and the chance to improve execution has passed.

"We find out too late."

It's what we hear most from commercial teams. The next chapter of retail execution is closing the gap between seeing what happened and knowing what to do next, while it still matters.

From shelf to next action

Know What Changed, Where and What to Do Next

Neurolabs Execution Intelligence overview dashboard with illustrative data, showing facing share, distribution, gap rate, Execution Score, the weakest stores and an exceptions queue
THE ARCHITECTURE

Built on Databricks, Governed End to End, Shared Securely Between Tenants

How Zia Execution Intelligence flows from image capture through Neurolabs IR to Unity Catalog and Databricks Delta Share
Why neurolabs

Capability at the Centre, Not Technology on the Side

The most impactful transformations don't come from adding another dashboard. They happen when Execution Intelligence becomes part of how commercial teams operate every day.

Faster visibility

Understand availability, pricing, promotions, displays and competitor activity with daily updates, not weeks later.

Operational prioritisation

Surface the issues that matter most, so teams focus attention where it has the greatest commercial impact.

Actionable workflows

Connect execution insights into your existing commercial processes, moving teams from observation to action.

Enterprise integration

Lands in your Unity Catalog as a read-only Delta Share that inherits your existing governance policies.

Scalable AI

Add new SKUs from product artwork in under 24 hours, with no physical samples or manual image collection.

Built with the field

We make execution visible; your teams make it better. Designed with CPG teams, not at them.

proven in the field

From Shelf Observations to Revenue Decisions

AG Barr + Aforza
Co-Developing a Capability

Turning shelf observations  into structured Execution Intelligence, faster visibility that supports better revenue decisions. Featured by Consumer Goods Technology.

Explore the case study
Macmobile
Less Manual Effort, More Visibility

Embedding Execution Intelligence into existing workflows to cut manual processes while strengthening execution visibility, providing a "single source of truth" for in-store performance.

Read the story
MacMobile results: 50%+ reduction in manual effort, minutes to deliver OSA scoring, ~97% recognition accuracy and 2,600+ SKUs onboarded, beside a recognised coffee shelf
The questions we hear most

The Questions Commercial Leaders Are Asking

01. What happens after shelf data gets captured?

The photo becomes SKU-level data (facings, share of shelf, out-of-stocks, prices, promo compliance) within seconds and lands in the customer’s own lakehouse, not a vendor portal.

02. How do organisations move from visibility to action?

They join shelf data with the data that explains it (distributor inventory, the promo calendar, depletions, trade spend), so each gap comes with a cause and an owner.

03. What does near real-time execution actually look like?

The rep gets a result on-device in under 5 seconds and fixes the shelf before leaving the store, while SKU-level analysis reaches the backend in under 30 seconds.

04. How should AI fit into existing execution workflows?

Inside the tools people already use: in the SFA app via SDK or deeplink for the rep and in the existing data platform for analysts, never as another app to log into.

05. How do enterprise data platforms help operationalise it?

They put shelf data next to sales, inventory and trade data under one governance model, so any team can query it, including in plain language through Genie, without a custom integration per question.

06. What capabilities will define the next generation of execution?

SKU onboarding in 48 hours from synthetic data, shelf data that is open and joinable and next best actions that reach sales, supply chain and trade marketing, not just the rep in the aisle.