RPA helps in designing entirely automated onboarding process for vendors and customers on boarding and includes automatic status communications as well as full integration of the information with your internal backend systems.

In the age of increasing e-commerce, Product returns are a very vital process among the various retail processes. Product returns are a cost to the retailer and processing returns manually can be a really time consuming task and if their processing is done manually, it may further increase the costs. RPA effectively manages the returns and does all the required changes needed in altering the inventory database and customers’ billing.

Providing 24X7 customer support has become an integral part of the retail industry. For e-commerce, providing customer support and sending real time updates to customers has become really important. 

RPA can automate such rule based processes to respond to such queries in real time. With RPA, companies can make their customer support more quick and convenient thus reducing turnaround times and free up human resources to conduct more critical tasks. It also allows resolving queries which needs decision making. RPA helps manage customer records across multiple systems and process changes with ease. BOTs ensure all of your CRM information is synchronized as they link systems, processes and activities.

When done manually demand and supply planning is a burdensome task which requires gathering vast amounts of data, formatting this data and run simulations and a host of other activities to come up with a plan which is time consuming and prone to errors. With the use of RPA in the retail sector these tasks can be automated and streamlined resulting in improved satisfaction of all the stake holders.

This sits at the core of every ecommerce operation enabling the retailer to procure goods from the manufacturer to the consumer. This transition of goods is heavily dependent on the back office which manages inventory levels, tracks shipments, manage customer queries, notify dispatch status etc. all of which are time consuming manual processes prone to errors. This makes these back office processes prime candidates for RPA implementation. As communication is vital for supply chain success, automation of emails would also facilitate better communication between customers, suppliers and distributors.

For any Retail organization Analytics is key to take meaningful decisions. As a low margin industry, accuracy and efficiency is the key to success in the retail industry. Comprehensive analysis of large amounts of sales data is fundamental for marketing, Product trends and consumer behavior analysis. Fluctuations in market demand, delay in sales analytics can cause a huge impact on business. Teams in retail rely on excel sheets to track information. This is time consuming as it takes significant time to consolidate and send these numbers for analysis. RPA can process structured as well as unstructured data in excel spreadsheets and provide the necessary reports. RPA analytics also helps in forecasting or predictive analysis, which supports stock optimization.