The appearance of products in marketing campaigns, ranging from online promotions and in-store displays to television commercials, can result in love at first sight or instant apathy.
Independent retailers who have seen their work fall into the latter category needn’t despair. Artificial intelligence can help business owners master the art of visual merchandising and product photography.
AI systems provide insight about brand marketing and commercial photography that can win the day, no matter your experience level. In addition, AI saves merchants’ money and time, eliminating the need for costly advertising firms while producing significantly quicker results compared to traditional approaches.
Taking advantage of computer learning is especially important for gift shops, home goods retailers, and clothing stores. Presentation is key to winning customers in these visually driven industries. As an example, potential customers seeking a trendy new outfit will likely walk past a business’s mismatched window display that provokes yawns and eye rolls rather than excitement.
Machine learning can improve the graphic mood by suggesting ideal set-ups, both in general and by analyzing sales data. For instance, a clothier might work from numbers regarding outfits and accessoriesthat sold well together in the past. Based on the information, a clothier would know which shirts and shoes to display together. In addition, neural networks can mine social media for trending styles
The same pairing principle can be applied to home goods shops– coffee tables, area rugs, table lamps and chairs come to mind as great items to group together. AI-generated couplings for gift shops include matching books and literary mugs.
Smart technology can be as general or specific as you like. Business owners might start the process by requesting proven strategies to drive patrons to sales displays. The machine can also present specific sales plans, such as a promotion targeting kids ages 7 to 12, broken down by the target audience’s interests and the factors that influence parents’ decisions about whether to purchase the merchandise.
Cognitive learning is also a great tool for producing quality, eye-catching visual photography. Machine learning capabilities include generating appealing backgrounds, including seasonal, urban and suburban, suggesting creative ideas and sharpening textures.
By suggesting camera angles, lighting and much more, you’ll have crisp, professional photos that make your items pop off the page and make a clear statement.
Selecting lighting that effectively showcases your products’ key selling points—and creating visuals guided by sales data rather than guesswork—can make the difference between a campaign with compelling, high-impact imagery and one with photos that fail to communicate a clear message or drive results.
AI is already transforming retail visual merchandising and product photography, which can be proven to work by using real-world planning based on copious data.
Financially speaking, generative machine learning can produce high-class, lower-cost displays while saving a sizeable investment in time and labor.
Personalized visual displays and best-informed product photography can also be a key influencer in a figurative visual: seeing black or red ink on your store’s bottom line.
