Our Case Studies

Welcome to our Case Studies. Regardless of where you are on your data science and machine learning journey, you’ll find helpful assets here to maximize your growth and ensure your success.

Resources
Product Life Cycle
Product Lifecycle Prediction

What happens when you combine an exhaustive AI-powered market feed with your internal data? You can tell the future! This case study illustrates how Infeed™ helped one of the world's biggest supply chain experts with product lifecycle predictions - so they can know the size and assortment of orders for the next year and stay several steps ahead of their clients. Find out how they managed to reduce operations cost and boost order sizes in less than 3 months.

Product Matching with Unmatched Speed & Accuracy

See how Intelligence Node's 10-second data refresh rates and 99% product matching accuracy helped this global hypermarket leader compete against Amazon across millions of its SKUs. Our plug & play API directly fed data into the customer's backend system offered quick implementation and advanced data access leading to competitive advantage, increase in productivity, and cost savings.

Product Life Cycle
Product Matching with Unmatched Speed & Accuracy

See how Intelligence Node's 10-second data refresh rates and 99% product matching accuracy helped this global hypermarket leader compete against Amazon across millions of its SKUs. Our plug & play API directly fed data into the customer's backend system offered quick implementation and advanced data access leading to competitive advantage, increase in productivity, and cost savings.

Track And Compare Competitor Catalogs
Competitor Catalog Tracking for Unified, Omni-channel Visibility

Intelligence Node solved a leading Home and Decor retailer's offline intelligence gap for competitor catalogs - in physical stores. With our breakthrough data capturing app, a custom analytics portal, and downloadable reports, the client got access to in-store competitor data fast and tore down the barriers between the two realms of retail - taking Offline Intelligence Online

Identifying Daily Price Violations for Nestle with Zip Code Based MAP Monitoring

To protect its brand image, Nestle's Coffee Partners (NCP) division needed to monitor prices in regional districts across a diverse set of third party sites multiple times a day and ensure none of the retail partners were violating the Minimum Advertised Prices (MAP). Nestle partnered with Intelligence Node's MAP monitoring solution to identify price violations on a daily basis across 145 different zip codes to ensure its products' premium price points are preserved and the brand integrity is maintained.

Identifying Daily Price Violations for Nestle with Zip Code Based MAP Monitoring
Identifying Daily Price Violations for Nestle with Zip Code Based MAP Monitoring

To protect its brand image, Nestle's Coffee Partners (NCP) division needed to monitor prices in regional districts across a diverse set of third party sites multiple times a day and ensure none of the retail partners were violating the Minimum Advertised Prices (MAP). Nestle partnered with Intelligence Node's MAP monitoring solution to identify price violations on a daily basis across 145 different zip codes to ensure its products' premium price points are preserved and the brand integrity is maintained.

See why Fortune 500 companies trust our AI-driven solutions to drive eCommerce growth & profitability.
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