Consumers depend on precise product information to make informed choices, especially concerning dietary needs and allergies, when it comes to food shopping online. However, inaccurate data can lead to mislabeled products and incorrect search results, adversely affecting customer experience and safety.
To illustrate, consider the recent audit of our grocery client’s PIM data, which revealed alarming inaccuracies.
The image above highlights a critical issue: products labeled as “suitable for vegans” when they contain animal-derived ingredients like eggs, milk, or even pork rinds. Such errors not only mislead consumers but also pose serious health risks for those with allergies.
The root of this problem often lies in poor product information management (PIM). Retailers and online platforms may source data from inconsistent or outdated databases, leading to misclassifications. Without proper safeguards, a simple search for “vegan” can yield unsuitable products.
The impact of inaccurate search results on customer experience is profound. Studies indicate that 28% of users encounter frustration with site search at least once a week.
Moreover, 64% of customers are likely to switch brands due to incorrect brand information. Such negative experiences can erode trust and deter repeat business.
For individuals with food allergies, the stakes are even higher. Approximately 33 million Americans have at least one food allergy. With the rise of online grocery shopping, 19.3% of U.S. consumers reported purchasing groceries online at least once in the past 30 days, accurate product information becomes crucial. Alarmingly, only 35% of online grocery items provide essential nutrition information, including allergen details.
To address these challenges, AI-driven solutions like Spoon Guru’s Nutrition Intelligence are instrumental. By processing 20 billion data points daily and conducting 7 million product validation checks, this technology ensures that product labels and dietary claims are accurate. Additionally, expert-in-the-loop quality assurance further guarantees precision, reducing the risk of misinformation reaching consumers.
Beyond error correction, advanced AI systems enhance various aspects of the shopping experience, including health signposting, product discovery, and consumer insights. For businesses, investing in reliable data management is not just about avoiding mistakes; it’s about building trust. For consumers, it’s about safety, transparency, and confidence in their choices.
