Share product recommendations 

Leverage customer data to suggest products that complement their past purchases or browsing behavior. 

Pain points:

  • In a vast online marketplace, customers may feel overwhelmed by choice, making it challenging to find products that meet their needs and preferences.
  • Without personalized recommendations, retailers may struggle to convert browsing customers into buyers, resulting in missed sales opportunities. 
  • Building customer loyalty is crucial in a competitive market, as well as standing out from the crowd and differentiating your brand.  

How do product recommendations help? 

  • Leverage customer data and browsing history to suggest relevant products, increasing the likelihood of purchase. 
  • Utilize conversational channels to provide an interactive platform for delivering product recommendations, allowing customers to ask questions, provide feedback, and receive personalized suggestions seamlessly. 
  • Simplify the shopping process for customers, helping them discover products they may not have found on their own. 
  • Conversational channels offer customers a convenient way to receive product recommendations without leaving the messaging platform they’re already using. Whether through SMS, social media messaging, or in-app chat, customers can easily access personalized recommendations and make purchases directly within the conversation, reducing friction in the buying process. 
  • Prioritize customer satisfaction and go the extra mile to exceed their expectations. Foster long-term relationships and loyalty with your customers by continuously delivering personalized recommendations based on evolving customer preferences. 

Business benefits

  • Increased sales: Personalized product recommendations lead to higher conversion rates and average order values as customers are more likely to purchase products that align with their interests and preferences. 
  • Improved customer satisfaction: Tailored product recommendations demonstrate that retailers understand their customers’ needs, enhancing the overall shopping experience and increasing customer satisfaction and loyalty. 
  • Optimized inventory management: By promoting specific products through recommendations, retailers can better manage inventory levels and promote slow-moving or seasonal items, reducing excess inventory and increasing turnover. 

Personalized recommendations across industries: 

  • BFSI (Banking, Financial Services, and Insurance): use personalized product recommendations to suggest relevant financial products, such as credit cards, loans, or investment options, based on individual customer profiles and financial goals.
  • Transportation & Logistics: recommend additional services or upgrades to customers, such as expedited shipping options or insurance coverage, based on their shipping history or preferences. 
  • Healthcare: offer personalized product recommendations for wellness products, medical devices, or prescription medications based on patients’ health conditions, treatment plans, or demographic information. 
  • Travel: recommend personalized travel packages, destination activities, or accommodation options based on customers’ travel history, preferences, and budget. 
  • Retail: leverage personalized product recommendations to suggest complementary products, upsells, or cross-sells to customers based on their purchase history, browsing behavior, and preferences. 
  • Telecommunications (Telcos): recommend personalized device upgrades, service bundles, or value-added features to customers based on their usage patterns, plan history, and communication needs.