More retailers are considering the benefits of Google Shopping Product Listing Ads (PLAs) to maximize product visibility and awareness among search engine users. In fact, as of November 2012, 100,000 retailers were participating in the service, according to a recent article from Retail TouchPoints.

IgnitionOne, a digital marketing solution provider, recently added a Google Shopping feature within its Digital Marketing Suite (DMS). The new solution was designed to empower marketers with the tools and resources to better manage PLAs and track their performance against other advertising channels.

To reduce costs across the entire supply chain and realize increased revenues, retailers must identify root causes in non-standard anomalies such as inventory distortion, on-shelf availability and shrink/waste/damage, and quickly determine and address the controllable factors. Pattern-seeking algorithms help reveal this information, reduce profit leakage, and improve business processes.

Profitect, provider of the pattern-seeking Profit Amplification software suite, has introduced QuickInsight, a cloud-based version of the algorithmic technology designed to provide quick access to solution benefits for a limited time period. It enables retailers to experience the process of identifying and resolving opportunities for profit improvement, with live deployment realized in approximately two weeks.

Brick-and-mortar retail leaders regularly evaluate store layouts, fixtures, planograms, staffing, and product offerings to optimize customer convenience and basket size. But how do they best determine and understand how shoppers move around their stores ― where they go, in what order, how long they stay, when they arrive ― and how these behaviors map to actual sales?   

The cloud-based RetailNext store analytics platform from RetailNext, a real-time in-store monitoring and Applied Big Data solutions provider, utilizes video analytics, on-shelf sensors, and data from POS systems and other sources to enable merchants to monitor, collect, analyze and visualize in-store data.