Industry: Life Science

Client Overview:

The client is one of the top 10 Biotechnology firms in the U.S., which collects, stores, and distributes standard reference microorganisms.

The client was dealing with a high number of POs which created huge backlogs. These sales POs have multiple formats which creates the necessity for a reliable exception handling solution. The client found that the number of exceptions in non-standardized formats was extremely high due to missing information. This caused an 18-day delay in generating Sales Orders.

The Client Found Confidence In in Sales Order Automation

Sales order automation is used to automate time-consuming but required manual processes in the sales process, allowing salespeople to focus on areas where they can offer value rather than data entry and administrative duties that need little or no talent.

Automating the processes also assures that they are done - there is no risk of a salesperson forgetting to enter data or send the correct data to the next step in the process if the duties are automated. For a more streamlined and productive sales cycle, it also allows prospects and customers to learn about products and services and make purchases in a convenient manner, with little or no human interaction.

The automation technology itself is still developing. Today's sales process automation solutions are far more advanced than those of a few years ago, taking over more administrative sales chores at a faster rate and delivering a greater quantity of insight from any automatically acquired data.

When effectively implemented, sales order automation can have a significant impact. According to McKinsey & Company, B2B sales leaders that use digital sales enablement have up to five times the growth of their competition who do not.

AiRo Automated Sales Order Processing Using RPA, OCR and And ML Technologies

Using modern AI and ML technologies like OCR and RPA AiRo developed a solution that can automate data extraction. This application uses RADF for data analysis and extracts the necessary information using an OCR Engine. The in-built machine learning solution improved the efficiency and reliability of the data processing using exception handling and data validation. This processed data is then integrated with the organization’s CRM to generate sales orders.

Process Workflow

Sales orders come in multiple non-standard formats and are often not integrated with the CRM. Receiving sales orders in structured formats can improve the speed of order processing, fulfillment, and improve cash flow for pharmaceuticals and life sciences organizations. Sales orders come in multiple non-standard formats and are often not integrated with the CRM. Receiving sales orders in structured formats can improve the speed of order processing, fulfillment, and improve cash flow for pharmaceuticals and life sciences organizations.

With a structured process to discover inefficiencies, AiRo shifts customers to a digital mailroom, provides intelligent data capture technologies to understand and validate orders, and manager records effectively. The solution helped the client to:

70% FTEs assigned to higher-value tasks
95%+ error reduction due to manual errors
Built-in Machine Learning adding data to ERP system for around 100 600 customers.

Is reducing sales order processing errors a high priority for you? We can help.

The AiRo Perspective

AiRo can transform your sales order process and to improve efficiency and save costs. Talk to us about how we can help you transform your Sales order process.

About AiRo

AiRo Digital Labs is an award-winning, global leader in AI and Hyper automation-led innovation for the healthcare ecosystem. We partner with Fortune 500 clients in the Healthcare, Pharma, and Life Sciences industry to address the challenge of applying AI technologies to augment and enable human effort, and to remove the inefficiencies in the care spectrum. We specialize in the emerging technology fields of Artificial Intelligence, Machine learning, Robotic process automation, Chatbots and Conversational AI, Natural Language Processing, Data Analytics, Premium Cloud Services, Industrial IoT, and other AI technologies.