Retail

Process and reconcile end-of-day tender types from point-of-sale and payment systems

Automate the process of checking different types of tender (cash, credit, debit, EBT, etc.) from point-of-sale (POS) sales and payment systems against the tender on hand to ensure there are no discrepancies. If discrepancies are detected, initiate an alert and even resolve the issue.By automating this process, retail businesses can save time and reduce the […]

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Automatically email digital receipt to shopper

An automation can be configured to automatically extract data from the point-of-sale system and a customer relationship management (CRM) system to create and send a digital receipt to the shopper via email. This improves the customer experience by providing a more convenient way for shoppers to access their receipts. In addition, this is environment friendly

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Digital assistants that provide personalized recommendations via online or mobile

Bots can extract data from the customer relationship management (CRM) system, inventory management system, and point-of-sale system to provide personalized recommendations to the shopper, through virtual agents on the retailer’s website or through a mobile app.By providing personalized recommendations, retail businesses can increase sales and improve the customer experience by providing tailored recommendations that are

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Provide digital assistants to support customers’ post-shopping visits

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

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Automated customer follow-up to gather feedback and reviews

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

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Track reviews, identify trends, and improve customer experience

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

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Automate the processing of returns and exchanges

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

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Maintain product and product family categorization

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

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Add/update new and existing product listings, images and attributes

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

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Integrate with exchanges and portals to download product information

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

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