  Future of sustainable fashion lies in adoption of AI for a better
understanding of consumer shopping behaviour and using this understanding to
further optimize product design, development and sourcing to finally reduce the
probability of overproducing inventory. Explainability and interpretability are
highly effective in increasing the adoption of AI based tools in creative
domains like fashion. In a fashion house, stakeholders like buyers,
merchandisers and financial planners have a more quantitative approach towards
decision making with primary goals of high sales and reduced dead inventory.
Whereas, designers have a more intuitive approach based on observing market
trends, social media and runways shows. Our goal is to build an explainable new
product forecasting tool with capabilities of interventional analysis such that
all the stakeholders (with competing goals) can participate in collaborative
decision making process of new product design, development and launch.
