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The talk will briefly introduce the business problems that article level forecast is addressing in retail and some of the most relevant use cases it can serve. Following that, requirements regarding such a forecast will be presented (single forecast truth in all steps of the chain, international level demand and seasonality, etc.) formulating the technical implications that arise from them. Finally, emphasis will be placed on unique challenges of on-line retail, like calculation of fulfillment and return costs. Key Questions: What are the use cases of forecast in retail? How are the business requirements translated in technical solutions? What is special for on-line retail in fashion? #HyperightDataTalks is a video podcast of best presentations, discussions and interviews with some of the most innovative minds, enterprise practitioners, technology and service providers, start-ups and academics, working with Data Science, Data Management, Big Data, Analytics, AI, IOT and much more. All presentations are taken from Hyperight´s Data summits and now available for you. For more interviews, audio podcast and videos from some of the best presentations from our Data Summits, please visit http://www.hyperight.com Presentation recorded during: Nordic Data Science Summit 2016 - http://www.nordicdatasciencesummit.com/ Follow us on Twitter: / datanordics More information about Hyperight: http://www.hyperight.com/ Subscribe to our channel: / @hyperight