AI Merchandising & Marketing Optimization for Retail
Rather than force fitting data through pre-defined data models, our SaaS IP blends industry-proven, artificial intelligence and machine learning models to deliver maximum predictability
Discover the latest advanced analytics best practices, insights and trends you need to know. (3)
Rather than force fitting data through pre-defined data models, our SaaS IP blends industry-proven, artificial intelligence and machine learning models to deliver maximum predictability from the available data, at any level of time, product and market hierarchy. Developed in a native cloud architecture, our solutions deliver accuracy, at scale, pushing the boundaries of AI/ML to produce results that are truly innovative and transformative.
Retailers are experiencing a 100% increase in online sales, but six to eight percentage points of margin loss. At NAEOS20 Yogesh Kulkarni explained how to anticipate demand, properly place and flow inventory, and manage fulfillment to maximize margins and improve the customer experience.
The panic buying and consumer demand shifts ravaged demand forecasts, leaving most CPG companies reverting to manual intervention to fix their stock issues. While unavoidable in the beginning, this event highlights the shortcomings of many forecasting methodologies: a basic assumption that demand is steady and slowly changes.
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