Retail

Process and reconcile end-of-day activities including reporting from point-of-sale systems

Automate the process of end-of-day activities on point-of-sale (POS) including transaction logs (TLOGs), sales and movement reports against cash on hand and credit card processing statements to ensure there are no discrepancies. If discrepancies are detected, send an alert and even initiate a process to resolve the issue.By automating this process, retail businesses can standardize

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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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