Growth Catalyst for CPG Brands: The Image Recognition AI

Real-time retail execution insights using image recognition technology can greatly benefit CPG brands in becoming category leaders in on-shelf metrics. Here's how:

Shelf Audit and Compliance: Image recognition can be used to conduct automated shelf audits, ensuring that products are stocked correctly and according to planograms. It can identify out-of-stock situations, misplaced items, or incorrect facings, allowing brands t o take immediate action to rectify issues and maintain optimal shelf conditions.

Assortment and Planogram Compliance: Image recognition can help brands monitor whether their products are placed in the correct sections and shelves as per the agreed-upon planograms. It can identify instances of assortment gaps or when competitors' products encroach on their designated space, enabling brands to address any compliance issues promptly.

Pricing and Promotional Compliance: Real-time image recognition can help brands monitor pricing and promotional compliance. It can detect price tags, labels, or promotional signage and compare them against the agreed-upon pricing strategies and promotional plans. This allows brands to identify any discrepancies or unauthorized price changes and take corrective measures.

Product Placement Analysis: By analyzing shelf images, image recognition technology can provide valuable insights into how products are positioned in relation to competitors. Brands can assess their visibility, share of shelf, and positioning in different store locations, enabling them to optimize their shelf placement strategy for maximum impact and better differentiate themselves from competitors.

Merchandising Effectiveness: Image recognition can evaluate the effectiveness of merchandising initiatives, such as point-of-sale displays, shelf talkers, or banners. Brands can analyze images to assess how well their promotional materials are implemented, whether they are properly positioned, and if they attract customer attention as intended. This helps brands fine-tune their merchandising strategies and improve their impact at the shelf level.

Product Availability and Out-of-Stock Prevention: Real-time image recognition can quickly detect instances of out-of-stock situations, allowing brands to take immediate action to replenish inventory. By receiving alerts or notifications about potential stock-outs, brands can proactively work with retailers to ensure product availability and minimize lost sales opportunities.

Competitive Analysis: Image recognition technology can help brands monitor their competitors' shelf presence and strategies. By analyzing images of competitor products on the shelf, brands can gain insights into their assortment, pricing, promotions, and shelf positioning. This information empowers brands to make data-driven decisions, adjust their own strategies, and stay ahead in the market.

By leveraging real-time retail execution insights through image recognition technology, CPG brands can gain a competitive edge in on-shelf metrics. These insights enable them to optimize their shelf performance, improve product visibility, ensure compliance, and make informed decisions to enhance customer engagement and drive sales.

Read an exclusive ebook by Infilect on Image Recognition and its use cases

Ebook: Top 20 Use Case of Image Recognition in CPG Retail

Learn how efficiently using Image Recognition can put CPG companies ahead of the curve. Get your hands on Infilect's free eBook packed with value bombs.

Trusted by global brands