Bots

Virtual agents (intelligent chatbots) can provide post-shopping customer support by answering questions, aiding with returns or exchanges, and resolving any issues that may arise.  The virtual agents use RPA in the backend to extract relevant information from ERP, CRP, Inventory management system, etc. to aid the customer. This improves the customer experience by providing timely […]

A bot can extract data from the point-of-sale (POS), e-commerce and customer relationship management (CRM) systems to identify customers that should be contacted for feedback and reviews, and send automated emails or messages to those customers.This improves feedback and reviews for the retailer’s products by reminding customers and providing a convenient way for them to

Bots can be used to extract customer reviews from various sources, such as the company’s website, e-commerce website and social media channels. The bot can then analyze the reviews and identify trends, such as common themes or issues that are mentioned by multiple customers. These insights can then be reviewed and steps taken to improve

Retail businesses can use Interactive Voice Response (IVR) and/or virtual agents (intelligent chatbots) to front end the returns procedure. Intelligent automation can then process the returns and exchanges using data from the CRM system, inventory management system, POS system and enterprise resource planning (ERP) system to update the inventory, customer and financial records as necessary.Retail

AI-powered bots can be used to automate the process of categorizing hundreds of products from different vendors that need to be classified under various categories such as Department, Category, and Sub-Category. The bot uses data from different systems such as the inventory management system and enterprise resource planning (ERP) system to create and update the

Automate the display of merchandisers’ product portfolio on the e-commerce websites. A bot can read product catalogue attributes and images, make necessary modifications and upload them to the respective product folders and/or update relevant internal systems. In the background, the bots also extract data as required from supplier websites and trade exchanges to make this

A bot can extract product information from trade exchanges like GS1 and other portals by accessing appropriate APIs or reading the web page(s) directly using RPA. The bot can then download the product information and manipulate the data as needed. This data is then fed into the appropriate retail business’ systems, such as the inventory

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

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

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