Up-Sell Cross-sell

Up-sell is selling the higher version of product/service to a customer whereas Cross-selling is selling one product along with another. Using machine learning and artificial intelligence algorithms we can plan marketing strategy to improve up-sell and cross-sell sales.

Upselling and Cross-Selling

  • How good the product or service is
  • Regions of improvements
  • Better sales conversion
  • Marketing campaigns
  • Sales by time period
  • Growth with time
  • Emerging trends
  • Strategies for customer acquisition
  • Factor contributing and affecting to product or service
  • How good is the products or services
  • Improvements to be made
  • Determining techniques working best for sells
  • Predicting future sales
  • Determining the popularity of a product
  • Uncovering new market opportunities
  • Strategies to increase sales
  • Sales growth with time
  • Sales growth with product
  • Determines the ability to generate the revenue
  • Areas of improvement to achieve the required goal


  • Number of complaints over a period of time
  • Depicts the first hand perspective of how your customers feel
  • Boost in customer communication
  • Average Rating Score
  • Gives you a clear view of the quality of customer support you are providing
  • Focus on increasing the rating score
  • Acceptable Quality Level (AQL) tells you how many defective components are considered acceptable
  • Essential sampling method used in quality control
  • Identify thresholds and minimize the low quality productions
  • Cost of Poor Quality by Levels
  • Understand the opportunities to improve the quality by reducing internal and external failure costs
  • Reduce the risks of competitiveness
  • Right First Time over a period of time
  • Increased efficiency in the production process
  • Minimizes losses caused due to rework

Digital & E-Com

  • Top Articles by Sold Items
  • Increase customer experience by identifying the top sold items and stocking accordingly
  • Avoid unnecessary costs by managing inventory based on least and most sold articles
  • Analyse the Customer Retention over a period of time
  • Identify the reasons for churn and avoid customer loss and maximize customer potential
  • Build better customer relationships and improve marketing strategies
  • Track the most frequent return reasons
  • Know the cost of returns and the impact on your business
  • Improve operational workflows and reduce the return rates
  • Number of Total Orders by Time Period
  • Average Orders per Customer
  • Improve the marketing and offers to receive more orders
  • Average Price & Units per Transaction by time period
  • Understand the customer purchase behaviour
  • Predict and Increase sales by pattern analysis

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