AI Front-Line Manager for Plant Retail

AI Front-Line Manager for Plant Retail

AI first-line manager for plant retail We developed an intelligent bot-manager for an ecom company in the plant sales sector that automates customer request handling and integrates with key business systems to work with a catalog of more than 20,000 SKU

  • Task To create a solution for automating customer support operations in an online plant store with the ability to process a large product catalog and integrate with the company's existing business systems.
  • Problem The company faced a heavy workload on first-line managers due to a large volume of customer inquiries across a wide range of plants. The average response waiting time was 2 hours, and manual selection of plants from a catalog of 20,000+ items took from 15 minutes to 2 hours per customer. After 19:00, customers were left without support, which led to lost potential sales and reduced customer loyalty.
  • Solution Implementation of an AI manager integrated with the corporate systems RetailCRM, Bitrix, and Moy Sklad, which provides 24/7 customer support and automatic plant selection based on customer needs and growing conditions.

System functionality

Intelligent consultation module

  • Automatic identification of customer needs through a conversational interface
  • Personalized plant selection based on care conditions
  • Consultations on plant care, watering, lighting, and placement
  • Recommendations on plant compatibility and composition design

Catalog management system

  • Processing and analysis of a catalog of more than 20,000 plant SKU
  • Automatic categorization by size, growing conditions, and characteristics
  • Instant search for suitable options based on specified parameters
  • Real-time updates on product availability

Integration module

  • Synchronization with RetailCRM for managing the customer base and deals
  • Integration with Bitrix for automatic task creation and notifications
  • Connection to the Moy Sklad system for stock control and product reservation
  • Telegram integration for seamless interaction with customers

Analytics and optimization system

  • Tracking conversion of inquiries into orders
  • Analysis of popular inquiries and product categories
  • Monitoring service quality and customer satisfaction
  • Automatic reports on bot performance

What results did we achieve

  • Reduced response waiting time from 2 hours to instant 24/7 response
  • Increased throughput by 5x: 2 managers now handle the workload of 5 previous employees
  • Accelerated the onboarding process for new managers thanks to automated workflows
  • Reduced employee turnover by decreasing routine workload on staff
  • Increased conversion of inquiries into orders by 40% thanks to personalized recommendations


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