#USA #New York #Retail Technology #Databricks #Neurolabs

Neurolabs Launches Execution Intelligence Dataset on Databricks Marketplace

In an exciting development for the retail sector, Neurolabs, a pioneering company in retail execution technology, has officially launched its Execution Intelligence dataset on the Databricks Marketplace. This innovative dataset provides real-time visibility into in-store conditions, allowing brands and retailers to better understand what’s really happening on the shelves.

Addressing the Retail Gap

Retail and Consumer Packaged Goods (CPG) companies allocate significant resources to trade promotions, pricing strategies, and in-store execution. However, a significant issue they face is the disconnect between in-store activities and core commercial systems. Often, while plans may be well-formulated, the execution varies considerably from location to location, which can result in missed sales opportunities, inefficient spend, and insufficient visibility into performance at the shelf level.

Neurolabs seeks to bridge this gap by utilizing advanced image recognition technology to capture in-store conditions. This data is then transformed into structured and actionable insights. Available through the Databricks Marketplace, it enables integration with existing datasets such as sales figures, trade spending, and Electronic Point of Sale (EPOS) data, all thanks to Delta Sharing—an open-source approach that allows secure, real-time sharing of live data and AI assets across different platforms.

A Unified Commercial Intelligence Platform

The introduction of this dataset fosters a unified commercial intelligence layer. This significant upgrade empowers teams to transition from mere reporting to actionable insights. Notable applications include tracking on-shelf availability, ensuring pricing and promotional compliance, validating planograms, and gathering competitive intelligence—all managed seamlessly within the robust Databricks environment that caters to broader business analytics needs.

Additionally, teams can now query execution data using natural language via Databricks Genie, making crucial insights more accessible across various commercial functions.

Proven Impact on Retail Execution

Neurolabs has already demonstrated a measurable impact through production deployments. Their solutions have noted improvements in order accuracy and have achieved over 95% SKU-level recognition accuracy in complex retail environments. This capability leads to faster identification and resolution of issues related to in-store execution.

As Patric Fulop, Co-founder and CTO at Neurolabs, highlighted, “Retail execution has always been a blind spot for commercial teams. You can have the right strategy and plan and still struggle in-store. This dataset opens the door to truly seeing what occurs at the shelf and taking timely action within the Databricks lakehouse.” He further noted, “By joining Databricks Marketplace, we are making that vital shelf intelligence accessible in one click for all CPG teams utilizing the platform. Thanks to Delta Sharing, our clients can gain live access to shelf intelligence directly in their Unity Catalog.”

Technical Integration Made Easy

The Execution Intelligence dataset is structured through a lakehouse-native architecture, promoting smooth integration into existing workflows within Databricks. It also features governed access via Unity Catalog, allowing users to query execution data alongside internal commercial datasets seamlessly.

About Neurolabs

Neurolabs is revolutionizing retail technology by establishing the industry standard for image recognition in the CPG segment. Their cutting-edge computer vision platform delivers end-to-end visibility across the retail supply chain, starting from distribution and continuing to store execution, utilizing synthetic data and proprietary visual AI models. By providing scalable, real-time insights directly from the shelf edge, Neurolabs supports global CPG brands and their partners in automating workflows, cutting costs, and enhancing execution excellence.

For further inquiries, please contact: Filip Luneski - [email protected]