Blue Yonder > 实例探究 > MIG Fashions 利用 Blue Yonder 的定价解决方案提高利润

MIG Fashions 利用 Blue Yonder 的定价解决方案提高利润

公司规模

Large Corporate

地区

Europe

国家

Poland

产品

Blue Yonder’s lifecycle pricing solution

技术栈

Artificial Intelligence

实施规模

Enterprise-wide Deployment

影响指标

Revenue Growth
Productivity Improvements

技术

分析与建模 - 预测分析

适用行业

零售

适用功能

销售与市场营销

用例

需求计划与预测

服务

数据科学服务

关于客户

Marketing Investment Group (MIG) 是中欧和东欧领先的鞋类和服装零售商。该公司已运营 30 年，拥有 400 多家门店和 20 多个电子商务平台。MIG 的复杂销售模式包括 11 个国家/地区的多个零售品牌，包括普通价门店和直销店。该公司一直在努力使用手动方法和消费级工具来优化其所有渠道、地区、产品和品牌的定价。

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挑战

营销投资集团 (MIG) 是中东欧地区一家领先的鞋类和服装零售商，该公司正在努力解决跨多个国家、货币和渠道为数千种商品进行最优定价的复杂问题。该公司在 11 个国家/地区经营着 400 多家商店和 20 多个电子商务平台，拥有多个零售品牌，包括正价商店和直销店。他们使用的手动方法和消费级工具不足以优化所有这些变量的定价。该过程复杂、繁琐且容易出错，导致大量降价，并且无法频繁更改价格。

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解决方案

为了实现定价流程自动化、推动销售并优化利润，MIG 与 Blue Yonder 合作实施了由人工智能 (AI) 支持的生命周期定价解决方案。该解决方案收集各种数据，例如销售历史、过去和未来的促销、当地需求和当前库存水平，然后定义最佳定价方案。MIG 可以审查这些方案，并提前了解它们将如何影响消费者的购买行为、销售和利润。该解决方案利用人工智能来支持比人类更快、更细致的决策过程。它将数据转化为有利可图的定价计划，目标是在最大限度地提高收入和利润的同时最大限度地减少过剩库存。该解决方案在进行计算时会考虑消费者的购买行为、内部销售数据和天气等外部数据源。

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运营影响

Increased revenues and margins
Reduced markdowns
Improved staff productivity
Automated pricing process
Optimized hundreds of prices every day

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