Drew | Business Insights

Smart Operations: Technology and Planning for 2026

Written by Drew's editorial team | Feb 10, 2026 11:00:02 AM

In an increasingly competitive and constantly evolving business environment, organizations must develop innovative strategies that allow them to optimize processes and respond with agility to market variability. The integration of technologies such as RPA (Robotic Process Automation), ERP (Enterprise Resource Planning), and BI (Business Intelligence) has become a powerful pathway to driving efficiency. In this article, we explore how operational areas can leverage these tools to strengthen operational planning for 2026 and ensure a flexible, resilient management approach prepared for upcoming challenges.

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Technology as a catalyst for operational efficiency

The current technology ecosystem opens unprecedented opportunities to transform how organizations manage their operations. Operational planning for 2026 requires not only adopting advanced tools, but integrating them strategically to align with corporate objectives focused on agility, efficiency, and informed decision-making.

RPA: Maximizing the value of human time

Robotic Process Automation (RPA) enables the automation of repetitive, error-prone tasks, freeing employees to focus on analytical, creative, or customer-facing activities. In sectors such as manufacturing, RPA implementations have delivered efficiency gains of up to 30% by accelerating administrative tasks and reducing human error. This type of automation becomes essential for planning models centered on speed, accuracy, and scalability.

ERP: Connecting the threads of the organization

ERP systems serve as the backbone of corporate information, connecting key areas such as finance, supply chain, human resources, and sales. In industries like retail, a robust ERP enables real-time inventory management, dynamic stock adjustments based on market demand, and improved customer experience. Additionally, its ability to consolidate data and provide end-to-end visibility supports strategic decisions aligned with growth objectives and operational efficiency.

BI: Turning data into strategic decisions

Business Intelligence (BI) transforms dispersed data into relevant, actionable insights. In service-based companies, BI has enabled trend forecasting, resource optimization, and operational strategy adjustments with a level of precision previously unattainable. By providing clear performance metrics, these tools strengthen operational planning and ensure that decisions are grounded in reliable, timely information aligned with overall business goals.

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Success stories across industries

Manufacturing: Automation and competitiveness

A global manufacturer of electronic components simultaneously implemented an advanced ERP system and RPA solutions, reducing production cycle time by 40%. Data synchronization and automated administrative workflows minimized logistical mismatches and accelerated delivery, highlighting the impact of combining technologies to enable a more agile and competitive operation.

Retail: Inventory management agility

A leading retail chain leveraged BI tools to understand purchasing patterns and adjust assortments in real time. Combined with RPA-driven automation, they reduced stockouts by 50%. This rapid response to demand fluctuations reflects the core principles of operational planning for 2026, grounded in data and automation.

Services: Personalization and customer satisfaction

In the financial services sector, the combined adoption of BI and RPA enabled the automation of complex regulatory processes and the personalization of offerings for different customer segments. This approach not only reduced operational risk but also significantly improved customer satisfaction, demonstrating how technological integration can strengthen the value proposition without compromising efficiency.

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Linking operational and strategic objectives

True transformation occurs when technology becomes embedded in organizational culture and long-term vision. Operational planning should go beyond immediate improvements and foster an ecosystem capable of continuous evolution, sustained growth, and innovation across all levels of the organization.

 

 

Conclusion

Integrating advanced technologies into corporate operations is essential to competing in a dynamic environment. Organizations must commit to comprehensive digital transformation that unites processes, people, and technology, ensuring operational capabilities are directly connected to strategic goals. A solid, flexible, data-driven operational planning strategy for 2026 will not only help organizations face future challenges, but also turn them into opportunities for growth and differentiation.