Bots

An RPA bot can be configured to keep track of competitor websites, trade publications, and industry reports, to extract data about new products, price changes, and promotions. The bot can then analyze the data to identify trends and patterns, and trigger alerts for merchants and category managers. The respective teams can then use these insights […]

Intelligent automation bot(s) can be configured to initiate localized price changes based on pre-defined rules and criteria. The bot can then distribute the price changes to the relevant systems, such as the inventory management system, the CRM system and the POS system. The bot can also ensure that the price changes are synchronized across all

Intelligent automation can be used to track and analyze customer data from various sources, such as purchase history, web analytics, CRM systems, and social media platforms, to identify patterns and better understand the typical shopper journey. Use these insights to optimize the shopper journey and improve the customer experience. For example, a bot could trigger

Automate the creation of segmented customer lists based on pre-defined criteria, such as age, gender, location, channel preference, purchase history and behavior. The bot can extract the relevant data from various sources, such as the CRM system, the POS system, social media platforms and web analytics, and use it to create these targeted marketing lists.

Use intelligent automation to set up a system that automatically extracts customer information and preferences from one system and updates it in other systems. For example, if a customer updates their contact information in the loyalty program, this information can be automatically transferred to the CRM system as well.This helps to ensure that all customer

Analyze customer data from different systems and identify patterns that may indicate a higher risk of churn. This could include factors such as decreased frequency of purchases, negative feedback or reviews, or a lack of engagement with loyalty programs. With this information, we automatically target at-risk customers with personalized offers or incentives to try and

Use RPA and AI to analyze customer data and purchase history which includes data on the products and services purchased in the past, their demographics and behavioral characteristics. Using this data, intelligent automation can identify trends and patterns that can be used to predict which products or services customers are most likely to be interested

Use intelligent automation to process customer feedback and reviews, and then use this information to create targeted promotions for those customers. This can be done using RPA to extract data from customer review platforms, and using AI to analyze this data and identify trends and areas for improvement. This helps retail businesses quickly and accurately