Plant Material vets its hard-good suppliers based on their online pricing strategy. If a brand allows its products to be sold at wholesale prices directly to consumers online, the company won't carry them, proactively protecting its ability to compete and maintain retail margins.

The economy is controlled by powerful 'middleman' companies that consumers have never heard of. Food distributor Cisco, for example, has a dominant position supplying nearly all sit-down chain restaurants, shaping food quality and prices across the country from behind the scenes.

Meatpackers use cheaper foreign beef to drive down prices paid to domestic ranchers. Because this beef lacks country-of-origin labeling, retailers sell it at the same high price as domestic beef, capturing the entire margin instead of passing savings to consumers.

Large distributors like Cisco, initially created to help local restaurants, now undermine them by homogenizing their menus. Restaurants lose their specialness when they all source from the same limited, mass-produced catalog, creating a 'Frankenstein's monster' scenario where the aid becomes the threat.

Pricing power allows a brand to raise prices without losing customers, effectively fighting the economic principle that demand falls as price rises. This is achieved by creating a brand perception so strong that consumers believe there is no viable substitute.

Consumer Packaged Goods (CPG) companies drove revenue through price increases, but this came at the cost of falling volumes. By pushing prices closer to the perceived value, they eliminated the "consumer surplus"—the extra value a customer feels they get. This made private label alternatives more attractive and damaged long-term brand relevance.

Aggregate profitability can mask serious issues. A company's positive bottom line might be propped up by one highly profitable offer while another "bestseller" is actually losing money on every sale. This requires a granular, per-product profitability analysis to uncover.

AI uses shopper clickstream and sales data to segment customers and SKUs with precision. This allows brands to offer targeted discounts where needed, maintaining trust by avoiding deceptive practices like shrinkflation and being transparent about necessary price increases on less elastic products.

AI analyzes sales, operations, and media data to identify price elasticity across product bands. Brands can then increase prices on premium items where consumers are less sensitive, while keeping prices flat on essentials, thus protecting margins without alienating the entire customer base.