A market-oriented perspective on order-to-cash solutions for specialized industries, Jyri Jokinurmi, Head of Business Development, Pulp, Paper, Board & Nonwoven, Tietoevry Industry

PAPERTECHNOLOGYINTERNATIONAL
A market-oriented perspective on order-to-cash solutions for specialized industries
Jyri Jokinurmi, Head of Business Development, Pulp, Paper, Board & Nonwoven, Tietoevry Industry
INTRODUCTION:
Industries such as Pulp, Paper, Board, Packaging, Tissue, and Non-Woven materials face unique operational challenges that
require tailored approaches to managing the Order-to-Cash process. Addressing these challenges requires a comprehensive platform
designed to align with the specific workflows and demands of these markets. Advanced technologies—including artificial intelligence (AI)—
and industry-specific features will enable businesses to optimize their operations, improve efficiency, and respond effectively to evolving market demands.
Market trends are driving the need for transformation
Broader industry trends justify increasing adoption of AI in
Order-to-Cash solutions. AI-powered analytics enable businesses
to pivot rapidly in response to supply chain disruptions and shifting
market conditions, thereby meeting increased demand for agility.
Technologies like AI, IoT, and cloud platforms – in other
words, Digital Transformation – are becoming essential tools for
staying competitive in a digitized economy.
By automating labour-intensive processes and reducing
errors, AI helps businesses optimize operational costs while
maintaining high performance.
The role of an AI-driven order-to-cash platform in today’s
market
Artificial intelligence is a game-changer in addressing the
complexities of the Order-to-Cash process for any manufacturing
company. By integrating AI into a company’s IT system landscape,
businesses in specialized industries can:
• Harness Predictive Analytics: AI enhances forecasting by
analysing historical and real-time data to predict demand
patterns, show potential bottlenecks, and optimize production
schedules and logistics planning.
• Automate Repetitive Processes: Tasks such as order
validation, invoice matching, and payment reconciliation are
streamlined, reducing manual workloads and minimizing errors.
Improve Employee Ef昀椀ciency: Use of AI assistants and
Generative AI to save signi昀椀cant time with work tasks, ad-hoc
reporting and knowledge support regarding internal processes.
• Optimize Cash Flow: AI algorithms analyse payment
behaviours to predict overdue payments, enabling proactive
interventions to improve cash collection and liquidity
management.
• Enable Dynamic Pricing Strategies: AI supports real-time
adjustments in pricing models based on market trends,
inventory levels, and customer preferences, ensuring
competitiveness and pro昀椀tability.
• Ease Language Barriers: For international companies with
personnel working in multiple languages, generative AI’s large
language models can help to bridge communication gaps.
• Enhance Customer Experience: AI-powered tools like
chatbots and natural language interfaces ensure swift and correct communication, fostering stronger customer relationships and satisfaction.
Productivity as a competitive edge
AI-driven automation not only simplifies complex workflows but
also enhances overall productivity. By freeing up resources from
repetitive tasks, businesses can allocate more effort to strategic
initiatives. In industries characterized by tight margins, these gains
in efficiency and productivity translate directly into competitive
advantages.
• Author: Jyri Jokinurmi, Head of Business Development, Pulp, Paper, Board & Nonwoven, Tietoevry Industry
35

Paperturn flipbook viewer