Welcome to the forefront of conversational AI as we explore the fascinating world of AI chatbots in our dedicated blog series. Discover the latest advancements, applications, and strategies that propel the evolution of chatbot technology. From enhancing customer interactions to streamlining business processes, these articles delve into the innovative ways artificial intelligence is shaping the landscape of automated conversational agents. Whether you’re a business owner, developer, or simply intrigued by the future of interactive technology, join us on this journey to unravel the transformative power and endless possibilities of AI chatbots.
Enterprise resource planning (ERP) systems help organizations manage and connect processes in finance, operations, and human resources. The ERP market is expected to reach ~$52bn in 2024.1 As ERP systems handle more complex processes, traditional ERP becomes insufficient. AI capabilities like machine learning models and conversational AI can streamline these processes, leading businesses to invest more in ERP AI solutions
Figure 1. Global AI for enterprise applications market from 2016 to 2025
This article explores top use cases and case studies of AI technology in ERP to better prepare business leaders for future investments in AI.
AI brings speed and accuracy to financial tasks:
For more, feel free to read our research on generative AI in finance.
Most ERPs offer tools for financial management. However, the use of AI with native integrations can increase the capabilities of ERPs in areas such as document management & accounts payable process.
Sponsored: PairSoft uses AI in accounts payable automation, which improves accuracy and business efficiency by
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For a detailed analysis of the increasing capabilities of ERPs in financial operations and accounts payable process:
Most operations activities such as supply chain management and AI improves enterprise resource planning with better forecasts using historical data and current conditions. It analyzes both past and current data to help companies prepare for what’s next. Key examples include:
ADK Marketing Solutions replaced parts of its long-standing TV audience prediction workflow with dotData’s automated AI system to address rising variability in viewing patterns. The previous approach relied on long-term averages and manual adjustments, which limited responsiveness to short-term trends. Using dotData, the team automated feature generation, tested multiple data configurations quickly, and refreshed prediction models on a monthly cycle.
For more AI use cases and real-life examples, check out: https://research.aimultiple.com/ai-usecases/
AI upgrades basic HR tools with smarter insights:
For more, see AI in HR.
See how AI is used for automating recruitment:
AI-powered chatbots, generative AI assistants, and virtual assistants help:
Watch how Vodafone leverages AI to offer intelligent customer service
Generative AI tools can:
These features reduce time spent on writing and reading, while also improving clarity and accuracy.
AI makes supply chain management more flexible and predictable:
World Market’s use of intelligent ERP system, powered by real-time inventory visibility and intelligent order routing, shows how AI-driven ERP solutions can optimize supply chain and inventory management by reducing shipping distances, enabling ship-from-store and BOPIS capabilities, and ensuring faster, more cost-effective fulfillment.3
AI can automate routine tasks in day-to-day business life:
Using data from sensors or digital twins, AI can:
AI-powered ERP systems can monitor systems to:
This is especially useful for banks and financial firms but now benefits all industries with large data volumes.
AI helps companies buy smarter:
SAP’s Ariba platform suggests suppliers who meet ethical sourcing standards or specific pricing goals.4
A recent study shows the application of SAP-specific generative AI in supply chain management.5
Organizations with SAP implementations, such as RISE with SAP and S/4HANA, achieve faster returns on AI investments in supply chain operations. Some key applications were:
As a drug wholesale company based in the US, AmerisourceBergen had previously used spreadsheets to pull in data from various systems to determine production costs.6 After pulling data, historical information, and know-how of the employees were also considered to figure out how sensitive customers were to price changes.
They then moved to an integrated system that automatically calculates production costs, analyzes historical transaction data, and pulls in outside data such as weather forecasts to create a foundational layer for future deployment of artificial intelligence.
With the old manual system, pricing team members needed to spend 3 hours on more complex price analysis and 5 hours on the more routine tasks involved with price administration. With smart automation, they are able to spend just 1 hour on price administration and the other 7 hours on value-added activities.
After implementation of the AI and process automation in Oracle Cloud, Mitsubishi Electric claims to have achieved:7
• Uptime has increased 60%
• Production has increased by 30%
• Manual processes reduced by 55%
• Floor space has been reduced by 85%
As an early adopter of HANA by SAP, Walmart claims to have been able to process its high volume of transaction records (the company operates more than 11,000 stores) within seconds.8
Watch how Walmart expands its use of AI in its stores
Machine learning capabilities are not the most important criteria in ERP selection. Companies should select ERP systems in line with how they will benefit them while running their daily business operations. However, the below factors are important to ensure that the ERP system is future proof when it comes to machine learning:
With increased interest in AI, every major ERP vendor claims to have integrated AI capabilities in their offering. It is impossible to verify all of these claims, but some vendors claim specific improvements in their ERP solution thanks to machine learning:
You can also check out our list of AI tools and services:
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