Retail

Automate document data extraction, validation and publishing content

Automate the process of extracting, validating, and publishing content from various types of documents, such as EDI, PDF, Excel, XML, or other formats. An AI-powered bot can be used to access the relevant documents, extract and manipulate relevant data. The bot can validate the data to ensure that it is accurate, and then publish the […]

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Synchronize product and assortment details across disparate systems

Intelligent automation can be configured to extract product and assortment data from various systems such as the inventory management system and the point-of-sale systems to compare and validate the data for consistency. The bot can then update the data across systems as necessary to ensure that all systems are in sync. This helps remove inconsistencies

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Auto-update scheduled or dynamic pricing across customer touch points and channels

Bots can validate and update any scheduled pricing changes or even generate a dynamic price based on pre-set business rules and/or competitor pricing. The bot then automatically updates the prices across different channels (e.g., in-store, online) and customer touch points (e.g., product catalog, e-commerce website, advertisements, etc.) to ensure that they are consistent and accurate.This

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Track competitor product intelligence such as new items, price changes and promotions

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

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Initiate, distribute and synchronize localized price changes

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

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Track, analyze, and improve the shopper journey

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

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Segment customer lists for targeted marketing campaigns

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.

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Updating of customer information and preferences across disparate systems

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

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