Putting AI into your ERP strategy

PostedOn: 2018-07-06 11:24:33

One of the most significant changes of the digital era is the growing use of AI in almost every aspect of business

ERP lies at the heart of most organizations' business processes and is undergoing a thorough transformation to meet the demands of digital business. The postmodern ERP era creates a stable, agile core that supports differentiated processes to deliver business outcomes.

One of the most significant changes of the digital era is the growing use of artificial intelligence (AI) in almost every aspect of the business. Its insatiable require for data coupled with the need for flexibility and agility in processes, architectures and people presents challenges for

1. Bots, chatbots, and virtual assistants

Chatbots and VAs are currently most useful in postmodern ERP strategies for laid-back users who find the user experience (UX) daunting and need a self-service experience that’s easier to use. Common deployments include recruiting and HR service delivery operations; benefits management; and supporting time and attendance, expense reporting and calendaring functions.

2. Conversational AI platforms

As postmodern ERP strategies usher in increasingly diverse applications to support them, relaxed AI platforms fill a vital role in smoothing the UX for all involved. Organizations can create responsive and engaging UXs relatively quickly. Users are liberated from having to learn additional user interfaces because voice-driven conversational AI takes on the job of learning what the user wants.

3. Analytics

Sophisticated, AI-driven analytics are increasingly becoming embedded within ERP, financial planning and analysis, and financial close applications, to support computerization and human decision making. They’re providing more real-time descriptive, diagnostic, predictive and prescriptive analytics.

4. Smart objects, sensors, and environments

A broad range of technologies robotics, smart buildings and intelligence integrated with the Internet of Things (IoT) applications have the potential to drastically disrupt traditional ways of working in inventory and warehouse management, enterprise asset management, facilities maintenance, logistics and construction capabilities.

5. Human capital management

Human capital management (HCM) technologies support enterprise efforts to recruit, deploy, develop and manage talent. The principal applications of AI across HCM domains are in recruiting, skills and jobs taxonomies, sentiment analysis and theme detection, recommendation engines and chatbots.

6. Finance

Initial AI applications in postmodern ERP finance will occur during the next two to three years, in three areas improving usability and providing general development support through the use of bots, chatbots and virtual assistants; improving and automating complex non-routine processes; and augmenting planning and financial forecasting. AI allows these efforts to leverage multipart and diverse internal and external datasets in real-time.