The Unavoidable Call: IoT and AI Technology as the Acceleration Engine for the SDGs and a Sustainable Future

By: The AZLOGICA Team

Halfway to the 2030 horizon, the world faces an undeniable reality: the Sustainable Development Goals (SDGs), that global roadmap for prosperity and planetary protection, are at a critical juncture. Progress on more than half the targets is fragile, and a worrying 30% are stalled or have regressed. Extreme poverty, hunger, inequality, and climate chaos demand an urgent global response and a change in mindset.

The global reaction is clear: we need immediate action and a global alliance to mobilize trillions of dollars in annual financing. The answer lies not just in politics, but in technological innovation as the catalyst for change.

The Transformative Power of IoT and AI

This is where the Internet of Things (IoT) and Artificial Intelligence (AI) emerge as indispensable allies. These technologies not only optimize business processes but are also essential tools for sustainability, directly contributing to 70% of the SDG targets.

At AZLOGICA, we have embraced this commitment as a pillar in every deployment:

• Operational Efficiency and Waste Reduction (SDG 9, 12): Real-time data from IoT sensors allows companies to optimize resource use and reduce waste.
  • TekniPlex Case Study: We implemented the Things Manager® platform and AWS services with vibration and temperature sensors on extruders. This transformed reactive maintenance into a data-driven preventive and predictive approach. The results speak for themselves: reduction in unplanned downtime, improved operational continuity, extended equipment lifespan, and cost optimization.
• Advanced Analytics for Intelligent Decision-Making (SDG 17): Integrating AI not only facilitates data querying but also offers advanced analysis and immediate insights, accelerating diagnoses and optimizing decision-making on the plant floor.
• Resource Optimization and Customer Experience (SDG 8): Our solutions extend to other sectors to foster sustainable economic growth.
  • Gildemeister Chile Case Study: We implemented a comprehensive video analytics system that identifies and analyzes customer traffic and sales staff performance in the showroom. This translates into an improvement in operating margin (>20%), reduced labor costs, and a potential increase of +5% to +10% in the conversion rate.

ECODRIVE®: The MRV Platform Driving Sustainability

For any sustainability project to be credible and successful, it requires surgical precision in Measurement, Reporting, and Verification (MRV). This is where AZLOGICA’s ECODRIVE® stands out, an IoT and AI solution designed specifically as a robust MRV platform. ECODRIVE enables continuous, real-time tracking of energy consumption, usage habits, emissions, waste, and other critical variables. By collecting essential data and processing it with business intelligence, it generates smart reports and early alerts, ensuring that projects not only positively impact the environment (SDGs 7, 11, 12, 13) but also meet sustainability goals and maximize energy efficiency in sectors like fleets, agriculture, and smart cities.

7 Stages for an Accelerated Sustainable Project with AZLOGICA’s IoT + AI

Turning a project into a sustainable success story requires a rigorous, technological methodology. At AZLOGICA, we have distilled the process into 7 Critical Stages that guarantee sustainability leveraged by IoT and AI:

1. Initial Diagnosis: Measurement of the current state and challenges using MRV tools to establish the baseline for impact.
2. SMART Goal Definition: Establishing specific, measurable, achievable, relevant, and time-bound goals aligned with specific SDGs.
3. Intelligent Deployment: Implementation of the IoT infrastructure (sensors, connectivity) for real-time data capture.
4. Platform and Consolidation: Integration of data into smart platforms like Things Manager® or DeepEye® to generate a digital twin of the process.
5. Predictive and Prescriptive Analytics: Application of AI and Gen AI to identify patterns, predict failures, and gain actionable insights.
6. Automated Intervention: Execution of optimization, automation, and asset control actions for maximum efficiency.
7. Verification, SDG Measurement, and Continuous Improvement: Using AZLOGICA’s platforms to quantify the direct impact on the SDGs, validating technology’s contribution.

.

.

7. Verification, SDG Measurement, and Continuous Improvement with AZLOGICA Solutions

The core of sustainability is the quantification of impact. Our IoT and AI platforms are designed to generate auditable and SDG-specific indicators:

• ECODRIVE® (SDGs 7, 13, 12): Our flagship MRV platform. It measures the reduction in CO2 emissions (SDG 13) from fleet optimization and fuel consumption, energy efficiency (SDG 7) in industrial projects, and responsible resource use (SDG 12), generating sustainability reports that facilitate the attainment of certifications and carbon credits.
• Things Manager® (SDGs 9, 12): Quantifies the improvement in infrastructure and productivity (SDG 9) by measuring the reduction of unplanned downtime. It measures responsible production and consumption (SDG 12) through predictive maintenance metrics, extending machinery lifespan and minimizing the need for replacement.
• Evolucion® (SDGs 8, 9, 11): Focused on mobile assets, it measures logistical performance (SDG 9) through route optimization and distribution efficiency. Furthermore, it rates driving habits to reduce risks and costs, fostering sustainable economic growth (SDG 8) and transport safety (SDG 11).
• Deep Eye® (SDGs 8, 16): Through video analytics, it measures operational efficiency and operating margin (SDG 8) by analyzing customer traffic and sales staff interaction. It contributes to peace and justice (SDG 16) by reinforcing security through intelligent surveillance, reducing incidents and creating safer, more controlled environments.
• Team Manager (SDG 8): Facilitates the measurement of workforce performance and labor cost optimization (SDG 8) through efficient management of field teams, ensuring productivity and task compliance for decent work and economic growth.

AZLOGICA’s approach is simple: what is measured, is improved. We use the synergy of our platforms to transform operational data into evidence of social and environmental impact, ensuring real progress towards the SDGs.

The time to act is now. The technology is ready. Are organizations ready to embrace this transformation?

At AZLOGICA, we are committed to being your partner on this journey toward sustainability and efficiency. If your company seeks to transform operational challenges into sustainable growth opportunities and accurately measure its contribution to the SDGs, our IoT and AI platforms are the way.

We invite you to contact us today for a personalized demonstration and discover how we can accelerate your positive impact on the world.