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TryNow raises $12M to bring try-before-you-buy, Prime Wardrobe as a service to online retailers

TechCrunch

TryNow — which provides technology to online retailers that use Shopify Plus to let their customers receive and try out apparel, return what they don’t want and pay only for what they keep — has raised $12 million, funding that it will be using to continue expanding its business.

Retail 253
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Voila raises $6M for its A.I.-powered storefronts for online creators

TechCrunch

He later joined a machine learning team at Google, thanks to his mathematics background. As part of this process, it uses machine learning to try to also analyze the scene in order to suggest other relevant items that can be added. To date, Voila has raised $7.5 million, including from investors SOSV and Artesian.

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Stop guessing your KPIs; Varos shows e-commerce, SaaS companies how you compare to peers

TechCrunch

Users get a dashboard where they can compare to, for example, an apparel company spending $100,000 a month on digital marketing with average order values of a certain amount and get a graph of how that has moved over time. With Varos, it is all self-serve. Varos founders, from left, Gil Shaked, Yarden Shaked and Lior Chen.

Company 285
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The power players of retail transformation: IoT, 5G, and AI/ML on Microsoft Cloud

CIO

Video and visual analytics ensure that trucks are filled before they leave the warehouse or distribution center, consolidating deliveries into fewer trips. With 5G-enabled smart mirrors, a person can virtually try on apparel. Sensors and other IoT devices track inventory and ensure that products are safe and secure.

Retail 158
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Demand Forecasting Methods: Using Machine Learning and Predictive Analytics to See the Future of Sales

Altexsoft

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. Machine learning for demand planning — advanced accuracy at the price of added complexity. Data sources. Why to use it.

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How Retailers Use Artificial Intelligence to Innovate Customer Experience and Enhance Operations

Altexsoft

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. X-Mart visitors can choose from a wide range of items, including beauty products and fast-moving consumer goods, as well as fashion and apparel.

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Lily AI lands new capital to help retailers match customers with products

TechCrunch

Meta has also experimented with apparel attribute prediction for Facebook Marketplace, two years ago showcasing a system that could extract clothing attributes and fashion styles from photos of models on Instagram and Flickr. .

Retail 226