ML models based on stock data, promotions, media, web, market model, new products, historical demand, Weather, Holidays, Macro-Economic Data, HR & Training Data, etc. to forecast demand
Generate holistic insights from newly launched drugs/products/brands to track performance and customer sentiments across CRM/social media. This can be automated to produce regulatory reports for compliance
AI models can look at a variety of factors including past sales, store display space, local trends, online behavior, and predicted weather patterns to determine which products would best suit a given store
➤ Vehicle Optimization: Improvement in supplier diversity and reduction in supplier risk by using ML models that optimize these parameters. Algorithms can determine the right mix of carriers and equipment type to cater to the shipments that need to be delivered to reduce freight costs
➤ Route Optimization: Identifies the most optimum route for driver; reducing miles driven, travel time, fuel use& related emissions
➤ Inventory Optimization: Reduction of Overstocking of non-moving items and reducing OOS (Out-of-stock) situation for fast moving items
➤ Deliver store-like experience to your consumer on a digital platform with personalized AI assistants to improve customer service support
➤ Chatbots can be used for Operational Procurement & suppliers FAQs
➤ They can research and answer internal questions regarding procurement functionalities or a supplier/supplier set
Get a detailed customer analysis on
➤ Showroom experience
➤ Visitor Foot fall
➤ Visitor Emotions
➤ Eye Gaze
➤ heat map of customer preferences
➤ Age & Gender Bifurcation
➤ Understand which sections of the store, the customer spend more time
➤ Store surveillance
➤ Sales-Person Efficiency
Give us a call or drop by anytime, we endeavour to answer all enquiries within 24 hours on business days.