Leading AI companies Rossignol

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For example, supply chain leaders wanted to use AI for, among other things, balancing inventory based on projected demand, and its ability to deliver based on those projections. With 200 factories and tens of thousands of suppliers, it’s impossible for humans to ensure optimal inventory levels.

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AI analytics and predictive modeling helped Schneider reduce inventory levels to avoid a glut while balancing its ability to efficiently deliver products like transformers, switches, and prefabricated substations. That improvement alone has resulted in about $15 million in savings, measured by how much excess inventory it reduced, and capital allocated to other projects.

“We targeted $5 million to $10 million in value, so that was a pleasant surprise,” said Madhu Hosadurga, global vice president of enterprise AI, adding that it plans to use new AI capabilities – it invests tens of millions each year in AI – to pare an additional five percent of inventory.
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Rossignol, a century-old French pioneer of ski equipment, expanded america phone number list into summer sports in 2016 with the introduction of mountain bikes. The goal – inspire people to spend more time in the mountains year-round, while leveraging its customer data and AI to do so.

“This is a unique turning point,” said CMO Gabriel Authier. “With AI, we are able to engage with our consumers seamlessly across seasons, getting them the right product that inspires them. We can frame the AI, and give it guidance. CRM, our data, together with AI, is going to create a virtuous circle that will elevate the customer experience.