Instacart Launches AI-Powered 'Smart Shop' Technology and New Features to Enhance App Personalization, Making It Easier for Customers to Make Healthier, More Informed Choices
New collaboration with the
In addition to Smart Shop,
"At Instacart, we want to turn the ordinary task of grocery shopping into a delightful, personalized shopping experience that takes the mental load out of finding the exact items that meet your preferences," said
- Smart Shop technology – Powered by
Instacart's industry-leading catalog of 17 million unique items and its proprietary dataset of millions of grocery shopping journeys, Smart Shop leverages unparalleled insights into nuanced consumer behaviors in a way that no other grocery marketplace can.Instacart's Smart Shop technology applies behavior analysis and affinity modeling to analyze real-world shopping habits, identifying patterns in user preferences with high precision. To further refine this understanding, large language models (LLMs) improve personalization by identifying the most valuable signals for predicting preferences to enhance accuracy.
For example, inferring a customer's preference for low-carb products is complex because many everyday items are naturally low in carbohydrates, making it difficult to determine true intent. Traditional machine learning models rely on large datasets and extensive feature engineering to differentiate between routine purchases and deliberate low-carb choices. Items like almond flour or cauliflower rice strongly indicate a low-carb preference, whereas staples like chicken breast, though low in carbs, are less indicative of intent in this context. LLMs simplify this process by analyzing product categories and detecting intent-based patterns in user behavior. They pinpoint deliberate low-carb choices and filter out noise from irrelevant signals like purchases of naturally low-carb items. By automating the identification of meaningful patterns, LLMs eliminate the need for exhaustive tagging and manual feature engineering, drastically reducing the time and effort required to create highly accurate, scalable predictions, while also enabling more precise and personalized recommendations – even in scenarios it hasn't been explicitly trained on.
As users shop, Smart Shop evolves its understanding in real time, dynamically adjusting digital aisles to prioritize the most relevant products based on inferred preferences, while seamlessly adapting to changing behaviors over time. When confidence in a preference is low, Smart Shop proactively engages users with clarifying questions like, "Show more low-carb options?" These interactions, combined withInstacart's proprietary shopping data, advanced ML models and LLM reasoning, continuously sharpen Smart Shop's ability to predict user needs and refine recommendations. By combining structured insights with pre-trained AI, this advanced approach drives unparalleled precision and truly personalized grocery experiences. - Customizable Smart Shop preferences – To further tailor the Smart Shop experience, customers can modify their shopping preferences, selecting from 14 unique dietary preferences, including gluten free, high protein, high fiber, lactose free, low calorie, low carb, low sodium, low sugar, low fat, organic, pescatarian, preservative free, vegan and vegetarian. Through Smart Shop preferences, customers can explicitly share household details, like whether they're also shopping for a baby, toddler or pet. All of these inputs enhance Smart Shop personalization, helping surface items and aisles on
Instacart that better align with each person's dietary and household preferences. - New Health Tags – According to a recent
Instacart customer survey, more than 70% of users have at least one dietary preference.1 To help them navigate grocery options with ease,Instacart developed an AI-driven Health Tag system, which scans product data at scale to extract key nutrition characteristics. This multimodal AI platform leverages vision-language models (VLMs) to extract rich product attributes from text and images to enable rapid, high accuracy tagging of nutrition claims, ingredients and dietary labels. Using this model,Instacart has tagged over 1.3 billion data points across food and beverage products in its catalog and today, Health Tags provide transparent easy-to-digest details on approximately half a million items across the more than 100,000 stores on theInstacart platform.Instacart's 30 Health Tags now include gluten free, grass fed, heart healthy, high fiber, high protein, keto, lactose free, minimally processed, pasture raised, preservative free, no artificial colors, no artificial flavors, non-GMO, vegetarian, vegan, wild caught and more, helping consumers easily view and filter items based on their preferences, discover new products and make more informed shopping decisions. - Inspiration Pages –
Instacart is also introducing Inspiration Pages, curated destinations within theInstacart experience that make expert nutrition advice and recommended recipes shoppable. The first page launched in collaboration with theADA simplifies shopping for people living with prediabetes, diabetes, and obesity – while also supporting anyone looking to make healthier grocery choices. By making trusted nutrition guidance easily accessible, Inspiration Pages help customers find foods that align with their health goals. With nearly half of all American adults managing at least one preventable chronic disease linked to diet and lifestyle, access to reliable nutrition resources has never been more important.2Instacart plans to continue expanding Inspiration Pages, launching new shoppable experiences based on Smart Shop preferences like high fiber and high protein, and partnering with additional organizations to bring more expert-backed guidance onto the platform. These pages will provide consumers with curated product selections and tailored recommendations, making it even easier to find foods that align with their preferences and goals.
Through AI-powered personalization, advanced preference detection, and rapid product attribute extraction, customers can use
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About
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1 Instacart Customer Survey, conducted Q3 2023. |
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