It is already widely accepted that Image Recognition helps solve problems at visited POSs, no matter whether you sell food, beverages or cosmetics. However, some market segments in consumer goods require adjustments to the tool for particular needs. The pharmaceutical industry is a perfect example of this. It has its own rules, regulations and specifications. Image Recognition must take all of these into account if you want it to play its full role effectively and efficiently.
Image Recognition is a rapidly evolving technology implemented by more and more consumer goods companies globally. Manufacturers apply it to increase analytical capability and improve decision-making. Image Recognition works exceptionally well when combining its ability to collect shelf data more efficiently with AI-powered analytics to generate actionable insights. In turn, field users can draw on these and improve the quality of their execution to boost the performance of your products on the shelf.
Mass market rules
All of the above applies entirely to any FMCG company and most pharma organisations in mass market categories. Image Recognition is an excellent option for them to digitise data collection and better manage distribution, display, promotion or contracts.
