Real time out of stock substitute finder for online shopping

我最初是一名合格的会计师，最初在花旗银行工作，后来转到毕马威的财务咨询部门，后来在零售营销平台方面获得了10多年的经验。我热衷于女性创业和创新。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不断攀升。2019年，全球估计有19.2亿人在网上购买商品或服务。根据Adobe的分析，COVID 19加速了这一行为，现在购物者甚至在网上购买必需品。网上购买的常用必需品增加了高达60%；诸如洗手液、手套、口罩和抗菌喷雾等产品的病毒防护类别激增了817%。对于在线零售商来说，典型的缺货水平平均在10%左右，但在大流行期间，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，缺货水平高达40%。根据电子咨询公司的数据，尽管近几个月来密集的库存减少了，但物流和履行问题导致所有主要零售商的库存短缺。这种短缺导致消费者在线上和线下访问多家商店，以找到他们正在寻找的所有产品。[][0]Shopper.com旨在通过机器学习分类器来增强其库存通知功能，该分类器提供可用替代产品的列表。包括亚马逊在内的几家主要零售商都提供缺货通知和相关产品信息。然而，拟议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是一家总部位于伯明翰的快速增长的初创公司。Shopper.com[][0]已经在帮助成千上万的购物者发现产品和交易，从而改善他们的在线购物体验。Shopper.com[][0]正在开发一种创新系统，方法是验证关键技术并将其整合到其当前平台上。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]‘S项目旨在开发最先进的机器学习过程来支持电子商务基础设施。它将让网购者拥有更好的购物体验，鼓励他们在家购物，从而提供更安全的渡过危机的航程。[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