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Retail

Posted by Harish on June 1 2020

Artificial intelligence (AI) and machine learning is set to transform the retail industry driving deeper insights into customer behavior, operations, finances, and human resources. ScoopML gives your retail organization the tools needed to accurately forecast demand and inventory, better understand customer behavior, and optimize staffing, helping you dominate your market and delight customers.

  • 1. Predict Customer Behavior
  • 2. Operations
  • 3. Labour planing
  • 4. Marketing

Whether it’s online vs. brick- and- mortar or finding the exact item they need, customers have more choices than ever. ScoopML delivers deep insight into what your customers think about your brand and shopping experience. This information helps drive marketing spend, analyze churn, and create plans for turning your most valuable customers into advocates. This includes: Predicting Churn and Lifetime Value (LTV) Predicting Return on Investment (ROI)

ScoopML automatically detects the most influential patterns in your data so you understand the impact of actions like stocking a new product line or a competitor opening a store nearby. With ScoopML, you can confidently predict sales over a holiday season, determine how much staff you need for the week, or ensure your inventory matches demand. This includes: Predicting Floor and Shelf space Predicting Demand Store and Warehouse inventory and replenishment Pricing optimization

ScoopML is helping retailers deliver relevant marketing content that is personalized for buyer preferences, behaviors, and context, delivering the right content at the right time across the most relevant marketing channel. The result, more effective marketing and targeting that resonates with prospects and customers. This includes: Predicting Daily Foot Traffic based on promotions Predicting effectiveness of online and offline campaigns

Hiring and managing staff can be a challenge in retail environments where turnover is greater than in many industries. With ScoopML, companies can optimize staff schedules to ensure coverage without over-staffing. In addition, you can analyze employee satisfaction and drive insights into why employees stay or leave.