All Content from Business Insider 09月18日
沃尔玛应用AI与机器人优化生鲜品配送
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沃尔玛正通过引入自动化机器人和人工智能技术,显著提升其生鲜商品的配送效率。其在美国南卡罗来纳州、德克萨斯州和加利福尼亚州等地的配送中心已高度自动化,能够更精确地预测需求,并优化库存管理。通过分析天气、大型活动等外部因素,沃尔玛能够减少食物浪费,降低运营成本,并更有效地为门店补货,甚至根据门店布局和员工反馈调整配送策略,以最快速度将最新鲜的食品送达消费者手中。

🤖 **高度自动化配送中心**:沃尔玛已在美国多个州建立并运营高度自动化的配送中心,这些设施运用自动化机器人和AI系统,极大地提高了处理和分发新鲜蔬菜及易腐食品的速度。例如,位于南卡罗来纳州威尔福德的72.5万平方英尺的配送中心,高达98%的运营由自动化完成,负责接收供应商货物并配送至180家门店。

📊 **AI驱动的需求预测与库存优化**:通过AI算法,沃尔玛能够超越传统的销售数据分析,整合天气变化、大型体育赛事等外部因素来更精准地预测商品需求。这有助于减少过量库存带来的成本,并能根据实时需求动态调整定价策略和促销活动。

📦 **“完美托盘”的智能生成**:AI技术在生成“完美托盘”方面发挥关键作用,它能智能决定每种食品的最佳摆放位置,确定所需份量(如牛奶、生菜包),优化托盘配置以最大化装载量,并考虑重量分配以避免易碎品(如鸡蛋)受损。此外,AI还能根据门店布局信息,预先排列表格中货物的顺序,便于员工快速上架。

💡 **动态应对需求波动与路线规划**:AI使沃尔玛能够灵活应对需求变化,例如为特定地区即将到来的暴风雪增加雪铲库存,却不增加其他地区相应库存。同时,AI还能优化卡车司机和快递员的运输路线,确保商品能快速、高效地送达门店或消费者家中,尤其支持一小时内送达的即时订单配送。

For Walmart, it's a priority to quickly stock store shelves with the freshest food possible.

In doing so, the nation's largest grocery-store retailer can prevent food waste from eating into its profits, even in an industry known for thin margins.

Yasemin Gunay, a managing director at Boston Consulting Group, told Business Insider that retailers and restaurants have historically planned their inventory levels based on their internal data, mostly based on past sales trend data.

However, advancements in AI algorithms have allowed companies like Walmart to consider external factors, like changes to the weather or major sporting events. By more accurately anticipating demand, retailers can be more strategic with their pricing strategies, employing more targeted promotions based on their stock levels and local sales trends.

"There's a lot of data in retail and you can monetize it if you can actually take action on it," said Gunay.

Inside Walmart's AI-assisted manufacturing facilities

Over the past four years, Walmart has constructed and opened several high-tech grocery distribution centers in states like California, South Carolina, and Texas. Each facility has automated robotics and AI systems that support workers' ability to process fresh vegetables and perishables more quickly than at traditional facilities without such technologies.

One of those facilities, in Wellford, South Carolina, is a 725,000-square-foot distribution center that autonomously accepts deliveries from vendors and ships out those goods to 180 Walmart stores across five states.

James Bright, the general manager of the Wellford facility, told Business Insider that the distribution center is 98% automated. The site relies on robotics to review and process deliveries of frozen food, dairy goods, deli meats, and other perishables from farmers and food suppliers. The goods are then stored in temperature-controlled environments to keep everything fresh. Another set of autonomous machinery sorts those goods into pallets ready for store delivery.

Bright said that AI helps enable the process of creating the "perfect pallet." AI algorithms help to determine the optimal pallet placement for each food item, including how many gallons of milk or packs of lettuce are needed in each container, the ideal configuration to fit as many items in a pallet as possible, and take into consideration weight to ensure lighter items like eggs aren't crushed.

Algorithms can also triangulate data from individual stores' layouts, placing the items in an order that makes it easier for associates to remove the goods and stock them on the shelves, Bright said.

He added that Walmart also considers feedback from associates. If employees request adjustments, the retailer can tweak the algorithms to make them more accurate.

"A lot of use of AI is in the background as we continue to automate our supply chain," said Bright.

According to a company blog post, Walmart uses predictive AI in Costa Rica to map out the best delivery routes for pineapples and root vegetables. In Mexico, Walmart has launched an AI-enabled inventory tool that tracks when goods may be at risk of being overstocked and automatically reroutes the food to other stores with less supply.

How AI can sharpen inventory planning

Indira Uppuluri, Walmart's senior vice president of supply chain technology, said AI is helping the company forecast demand beyond the immediate future. This can help lower costs, because Walmart incurs more costs by housing excess inventory. "You want to reduce the buffer inventory," said Uppuluri.

Walmart also uses AI to respond to demand fluctuations, according to Parvez Musani, the senior vice president of stores and online pickup and delivery technology. For example, AI models can be trained to send extra shovels to stores in Arizona for an upcoming snowstorm, but won't increase the stock levels for Walmart's Maine stores, where snow is far more prevalent.

AI also helps Walmart plan ideal transportation routes for truck drivers delivering to the store and drivers who drop off express-order products that are frequently shipped to shoppers' homes within an hour, Uppuluri said.

"There are multiple places where today we have generative AI in production being leveraged by our associates," said Uppuluri. "It's not just a proof of concept."

Read the original article on Business Insider

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相关标签

Walmart AI Robotics Supply Chain Perishable Goods Automation Demand Forecasting Inventory Management 沃尔玛 人工智能 机器人 供应链 生鲜品 自动化 需求预测 库存管理
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