Wednesday, 3 June 2020

Make Supply Chains Smarter with Robotic Process Automation


More than 70% of businesses and industries are willing to invest in RPA. The current RPA market stands at 1.1 billion USD and is expected to grow at a CARG of 33.6% from 2020 to 20271. According to the London School of Economics, a 24/7 robot can increase a company’s ROI by 600% in just 3 years2.
Aren’t these fascinating facts? This clearly shows that the world is becoming smarter and adopting automated solutions to magnify the efficiency.
Robotic Process Automation or RPA can be defined as software or robot that can automate redundant and routine activities that do not depend on human judgment. According to Fortune.com close to 40% of all the jobs can be automated, and the rest can be semi-automated using RPA3. Robots can perform regular administrative jobs better than human beings. RPA brings accuracy, speed, efficiency, and cost savings together at the same time. It helps businesses to use their existing application software’s like CRM and ERM more productively.
The pharmaceutical industry has several routine activities that can be replaced by a robot. This will increase efficiency, collaboration in the supply chain, and bring down operation costs. In the modern era, customers are well-informed, and there is a massive pressure in the life sciences industry to improve their R&D and produce better life-saving drugs. Automation will not only save cost or increase efficiency but also allow human beings to focus more on research and address customer demands.
The pharmaceutical industry can benefit from RPA in multiple ways. Starting from Clinical Development and Sales Force Management to Precision Marketing and Supply Chain Management. Automation is all set to make supply chains lean and efficient. Some of the most significant issues in the supply chain are
  • · Inventory Management
  • · Integrating operations across multiple channels
  • · Visibility across the supply chain
This presents a perfect scope for Robotic Process Automation. RPA can perform core business functions ten times faster than human beings with complete accuracy. The analytics from RPA helps in forecasting, tracking goods, and help in making complex decisions. To understand the complete potential of RPA in the supply chain, let us look into the following use cases –
Automating Order Processing
Even today, order processing means a lot of paperwork and manual transactions. These tasks can be easily automated and made more efficient using RPA. Activities like product selection, payment processing, and order confirmation can be completely digitalized. Customers can directly place orders on a company website, a payment gateway can assist in payment, and an automated email will inform about order confirmation.
This model is currently implemented in the retail industry (think how you place and confirm orders on Amazon). Similar models can be implemented in the supply chain for pharmaceutical companies.
Inventory Management
Monitoring inventory levels, placing orders, and tracking products across the supply chain makes inventory management a very complex activity. RPA can automate inventory management, eliminate human labor, and increase productivity. Automations can monitor product levels and place an order when the inventory goes below a threshold level. RPA helps in tracking the product right from the order placement until it is shipped to the customer.
Further, it can use historical data and deduce patterns that can help in demand forecasting and order placement. With RPA, employees become free and can focus on areas that require judgment and complex decision making.
Planning Supply and Demand
The success of supply chain management demands on how accurately the demand conditions are forecasted. This involves a lot of complex data, order histories, industry and market conditions, and many unforeseen factors. This leads to a time-consuming and error-prone process.
RPA, coupled with AI and ML, can automate these tasks and predict demand conditions accurately. It also takes into account demand spikes and other insights that misses the human eye. RPA can analyze volumes of data in no time, prepare reports, and help you plan most effectively.
Vendor Management
Vendor selection involves a lot of manual processes that can be easily digitized. Creating an RFQ (request for quotation), vendor communication, evaluating quotes, and finally selecting the vendors comprises vendor management.
With RPA implementation, human effort and interaction can be completely minimized. It is only needed for face-to-face meetings and a final selection step. The rest of the processes can be automated using RPA, coupled with AI and IoT. It can efficiently process Requisition Forms, Order Quotations, and Vendor Proposals and help in making the best choice in vendor selection.
Invoice Management
Invoice management is directly connected with payment processing. No one would like errors and mistakes in invoice management. It involves a lot of tedious tasks like invoice preparation, entering details from invoice, match invoice against the purchase order, and reconcile payments with the invoice.
Automating these activities will speed up the entire process and eliminate human errors. RPA can extract data from purchase orders and automatically create an invoice. Invoice Management can be
coupled with Inventory Management and Demand Planning for ensuring efficiency across the entire supply chain.
Refund and Returns
This part of the supply chain involves a lot of risks and high-value. Allowing human intervention gives room for errors and overwhelming workflows. Right since the return request is placed till the time the product reaches the warehouse and the refund is processed, the activities are highly complicated.
This presents a perfect opportunity for RPA to step in. The entire chain of activities can be automated. Implementing rule-based automation, the refund processing system can reduce human efforts and make the activities error-free.
To gain the maximum benefit from RPA in the life sciences sector, businesses must understand the limitations of RPA as well. It can automate routine activities but cannot replace a human being in making complex decisions. Pharmaceutical companies need to plan the roadmap, identify the processes that can be automated, and continuously upgrade their systems. The last thing to be taken care of is the regulatory mandates and rules. All these automation and digitization should be appropriately checked and monitored. Remember, RPA is there to assist human beings not to replace them!
Speak to us at i2e Consulting to understand how we can help you with Robotic Process Automation and other innovative technologies to transform your supply chain
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Wednesday, 22 January 2020

Microsoft adds RPA to its list of services with Power Automate 

Microsoft is heavily invested in empowering the average business users and is pushing for anyone can develop. In this context, Power Platform, first introduced in 2018 shows tremendous promise especially with the newly revamped Power Automate (previously Microsoft Flow) and Power Agents. The latest edition of Microsoft Ignite declared that the company will be a provider for RPA. This feature is now in public preview is surely path-breaking. Read on to find out why.
James Phillips, corporate vice president of business applications at Microsoft writes,
“One of the biggest challenges organizations face is scaling and automating business processes—from digitizing pen and paper processes to automating complex processes that span legacy and modern applications. Robotic process automation has rapidly become a key technology to address many of these scenarios but generally requires a patchwork of automation services that need integration and management before the real work can get done.”
For those not aware, Robotic Process Automation (RPA) is the technology that enables us to configure computer software, or a ‘robot’ to emulate and integrate the actions of a human interacting within digital systems to execute a business process. For RPA to work as pointed out by James Phillips, we need automation services and connectors to other services. This is where Power Automation plays a crucial role and stands out among the existing RPA.
The newly added RPA capability is called UI flows. It is a simple point and click, low code experience that can record and playback human interactions with software systems and turn them into automated workflows for repetitive mundane tasks. UI flows combined with the capabilities of Power Automate connectors provide an end-to-end automation platform. Power Automate has roughly 275+ connectors to widely used apps and services that support API automation. In the past, the only way to connect API to a legacy system is to ask your developer team to do it for you. But now, with Power Automate Microsoft is expanding horizons for things that can be automated.
To further elaborate on this and make things simple Microsoft offers an example of an insurance claims processing company.
For example, let’s say you work for an insurance claims processing company, where clients fill out digital forms, paper forms, or communicate through email. The claim is processed on modern cloud services while staff also maintain cumbersome paper records and legacy applications. With Power Automate, this entire process can be automated. Digitized data from scanned paper forms are processed with AI that recognizes forms, and old legacy systems can be automated with RPA—one platform that brings both worlds together seamlessly.
The evolution of Microsoft Flows into power automate to align more with the Power platform along with the RPA feature was expected if not this soon. This together with the Power Virtual agent and new security updates for Power BI only makes the platform stronger.
Power Platform is the combined strength of four major services namely Power BI, Power Apps, Power Automate and Power Virtual Agent. Microsoft claims that with power platform you can analyze data, build solutions, automate processes, and create virtual agents. These no-code/low code services are sure of keeping productivity soaring together with the ROI.