Real time out of stock substitute finder for online shopping

我最初是一名合格的会计师，在花旗银行开始了我的职业生涯，后来转到毕马威财务咨询，在零售营销平台积累了10多年的经验。我对女性创业和创新充满热情。网上购物正以前所未有的速度增长，数字买家的数量每年都在继续攀升。2019年，全球约有19.2亿人在网上购买商品或服务。根据Adobe的分析，COVID - 19加速了这种行为，现在购物者甚至在网上购买必需品。普通主食的网上购买量增长了60%；洗手液、手套、口罩、抗菌喷雾剂等防病毒类产品激增817%。在线零售商的典型缺货率平均约为10%，但在疫情期间，前所未有的商品需求、旅行限制和工厂关闭导致供应链中断，缺货率高达40%的历史最高水平。eConsultancy数据显示，尽管近几个月大量库存有所减少，但物流和配送问题导致所有主要零售商出现库存短缺。这种短缺导致消费者在线上和线下访问多家商店，以找到他们想要的所有产品。[] Shopper.com旨在通过机器学习分类器来增强其缺货通知功能，该分类器可以给出可用替代产品的列表。缺货通知和相关产品信息可以在包括亚马逊在内的少数主要零售商处获得。然而，所提出的系统可以确保发现来自同一零售商或其他在线零售商的相同或替代产品，确保购物者完成在线购物。[][0] Shopper.com是一家位于伯明翰的快速发展的初创公司。Shopper.com[][0]已经帮助成千上万的购物者发现产品和交易，从而改善他们的网上购物体验。Shopper.com[][0]正在开发一个创新系统，通过验证关键技术并将其整合到现有平台。研究和开发领域包括使用机器学习，先进的数据处理和事件处理，这是电子商务系统研发的前沿。Shopper.com[][0]的项目旨在开发最先进的机器学习过程，以支持电子商务基础设施。这将使网上购物者有更好的购物体验，鼓励他们在家购物，从而为度过危机提供更安全的航行。[0]: http://Shopper.com

Originally a qualified accountant, I started my career with Citi Bank and later moved to Financial Advisory at KPMG before gaining 10+ years of experience in retail marketing platforms. I am passionate about women entrepreneurship and innovation.Online shopping is growing at an unprecedented rate, with the number of digital buyers continuing to climb up every year. In 2019, an estimated 1.92 billion people purchased goods or services online across the globe. According to Adobe's analysis COVID 19 accelerated this behaviour and now shoppers buy for even essential supplies online. Online purchases of common staples increased upto 60%; the virus protection category of products such as hand sanitisers, gloves, masks and antibacterial sprays have surged by 817%. The typical out of stock level averages around 10% for online retailers, but during the pandemic the unprecedented demand of goods, travel restrictions and closure of factories led to supply chain disruptions and out of stock levels were at historic high of upto 40%.According to eConsultancy, although intense stockpiling has reduced in recent months, logistical and fulfilment issues led to shortages in stock for all major retailers. This shortage resulted in consumers visiting multiple stores both online and offline to find all the products they were looking for.[][0] Shopper.com aims to enhance its back in stock notification feature with a machine learning classifier that gives a list of available substitute products. Out of stock notifications and related products information is available with few major retailers including Amazon. However, the proposed system can ensure the discovery of same or substitute products from the same retailer or other online retailers ensuring shoppers complete the shopping online.[][0] Shopper.com is a fast-growing startup based in Birmingham. Shopper.com[][0] is already helping thousands of shoppers in discovering products and deals thus improving their online shopping experiences. Shopper.com[][0] is developing an innovative system by proving key technologies and incorporating them to its current platform. Areas of research and development include use of machine learning, advanced data processing and event processing which is at the leading edge of R&D in eCommerce systems. Shopper.com[][0]'s project aims to develop state-of-the-art machine learning processes to support eCommerce infrastructure. It will allow online shoppers to have a better shopping experience encouraging them to shop from home thus providing a safer sail through the crisis.[0]: http://Shopper.com