Welcome to the team Alexandra, our new Analytics Director!??? She’s spent the last 5+ years diving deep into retail analytics, working with brands like Meta, Motorola, LG, and iRobot. Prior to that, she worked for the State of Utah helping to improve public data transparency and access. Now, she’s bringing that same data-driven mindset to Standard AI, helping retailers and brands turn in-store insights into actionable data. We're excited to now have her on the S^ team! ??
Standard AI
软件开发
San Francisco,California 8,535 位关注者
Empowering Retailers and Brands with AI-Driven In-Store Analytics
关于我们
Retailers today face some of the toughest challenges in physical stores — from tracking shopper behavior to optimizing promotions and in-store media. Traditional tools often fall short in delivering real-time, actionable insights. At Standard AI, we solve these challenges by equipping retailers and CPG brands with AI-powered computer vision technology that unlocks real-time insights on promotions, media impact, new product launches, and more. Our VISION platform turns data into actionable insights, helping retailers drive sales, improve store performance, and gain deeper visibility into the shopper journey. Founded in 2017 and backed by leading venture capitalists like Y Combinator, SoftBank, CRV, and EQT Ventures, Standard AI is at the forefront of transforming physical retail with e-commerce level data insights. Partnerships: Google Cloud, AXIS COMMUNICATIONS, and NVIDIA Want to learn more? Visit https://standard.ai or email us at [email protected] to see how Standard AI can turn your store into a data-driven powerhouse.
- 网站
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https://standard.ai/
Standard AI的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 创立
- 2017
地点
Standard AI员工
动态
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Are you wasting millions on in-store displays that no one sees???? Retailers spend millions securing prime in-store real estate – end caps, aisle displays, checkout placements. But here’s the problem: - Just because shoppers walk by doesn’t mean they see the display - Foot traffic ≠ engagement - Sales lift doesn’t tell you why a campaign worked or why it didn’t So, how can retailers know if their in-store media actually works? Leading brands are shifting from guesswork to data – tracking where shoppers walk, what catches their attention, and what leads to a sale. ?? Real-world impact: A retailer assumed their planned end cap would perform best. VISION revealed a different end cap had higher engagement, leading to a new store layout and increased conversions. Read more??? https://lnkd.in/gY-WweyY #RetailMedia #ComputerVision #RetailInnovation?
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Vegas, we’re coming for you!??? ?? Retail is changing fast, and we’re excited to meet with retail & CPG leaders ready to turn in-store data into action. Join us at Shoptalk 2025, March 24-27, as we dive into: ? How to measure & optimize in-store promotions ? Measure in-store media effectiveness ? Track product performance from awareness to purchase Let's meet in Las Vegas! Don't miss your chance to connect with us, lock in a time now! #Shoptalk2025 #RetailTech #InStoreAnalytics #RetailData
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Who’s Ready for Shoptalk, Las Vegas???? ?? We’ll be heading to Shoptalk 2025 (March 24-27, Mandalay Bay) to talk about how computer vision is increasing the bottom line for retailers and CPG brands: ? ? Foot traffic tells you how many people walked by - but not what they viewed. ? There’s no way to know if in-store media influenced a purchase.? ? The path between entering the store and checking out remains a mystery. With VISION, you can: ? See where shoppers engage and make decisions. ? Optimize placement based on real shopper behavior. ? Measure true engagement?and attribute sales impact to in-store media. ?? Let's connect! We're booking 1:1 meetings with retail and CPG leaders + hosting exclusive gatherings you will not want to miss! Spots are filling fast—book a meeting today:?https://lnkd.in/grfud56v #Shoptalk2025 #RetailAI #CPG #ShopperEngagement
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Foot traffic ≠ engagement. Here's why retail media needs a better measurement system; Right now, retailers & brands rely on sales lift and foot traffic estimates. The problem? ? Foot traffic tells you how many people walked by – but not if they stopped. ? It’s unknown if the in-store media influenced purchase decisions ? It’s unclear what happened between entering the store and checking out? The missing piece? Measuring real shopper engagement. With VISION, you can track: ?? Exactly where shoppers stop, engage, and make decisions ?? Optimize placement based on real shopper interactions ?? Measure true engagement – not just estimated traffic No more guessing. No more assumptions. Just data-backed in-store media that delivers real results. Learn more ?? https://lnkd.in/gY-WweyY #RetailMedia #RetailTech #ComputerVision
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Your product is on the shelf, but are shoppers even seeing it?? In e-commerce, tracking impressions is easy. Now, retailers and brands can do the same in physical stores. Our CEO Angie Westbrock?sat down with the Xtalks podcast and shared how computer vision gives brands the same level of insights as e-commerce, offering unparalleled data on engagement and impressions. Watch to the full interview here:?https://lnkd.in/g6jhh8sP #retail #retailtech #impressions #retailAI #computervision #xtalks?
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Standard AI转发了
Shoptalk is coming – are you ready for Las Vegas? ?? Here we come!? Retail media, shopper engagement, and in-store analytics are evolving fast.? We'll be on the ground at Shoptalk 2025 to connect with retail and CPG leaders on how computer vision is transforming: ?? -Track promotions that drive results and measure what converts shoppers ?? -Engage shoppers with data-driven insights to drive strategic advertising placement ?? -Gain insights into new product launches with real-time shopper engagement We're booking 1:1 meetings, exclusive gatherings, and happy hours you won't want to miss! Drop a comment below or send us a DM to save your spot. #seeyouatshoptalk #retailinnovation #retailAI #retailtech #retailevents
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Standard AI转发了
I’ve never fit into a stereotype, and neither do your customers. So why is marketing still built on them? At Standard AI, our models aren’t trained on facial recognition or demographics. Instead, we anonymously measure what actually drives purchases: ?? How are shoppers moving through the store? ?? What products do they engage with? ?? Where do they go next? And the results speak for themselves—our AI can predict shopper paths with 90% accuracy. The correlation between behavior and purchases is far stronger than any demographic assumption. ? What’s really exciting is that our research uncovered three distinct shopper personas—Seekers, Wanderers, and Explorers—that can be identified in real time. Which customers are mission-driven, and which are browsing? How long did they engage with your product before making a decision? This is the future of retail intelligence. With real-time behavioral insights, computer vision is becoming an essential part of the retail tech stack—unlocking new levels of understanding and precision that were never possible before.
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