Advenno built GreenGrid, an IoT sustainability platform monitoring real-time energy across 86 facilities. ML-driven optimization reduced consumption 27% ($11.3M savings) while automating SEC-compliant ESG reporting from a 3-month process to 2 days.
The Challenge
Atlas Industrial Holdings had grown through 40 years of acquisitions into a sprawling portfolio of 86 manufacturing plants, distribution centers, and warehouses spanning 22 states. With $42M in annual energy costs, energy was the third-largest expense category after labor and raw materials — yet it received a fraction of the management attention. Each facility received monthly utility bills as PDFs that were processed by accounts payable for payment but never analyzed for optimization. Facility managers had no tools to understand what drove their energy consumption beyond the total monthly figure. Some facilities had implemented ad hoc measures — a motion-sensor lighting retrofit here, a programmable thermostat there — but these were isolated efforts with no measurement of impact or sharing of best practices. Corporate sustainability was handled by a single analyst who spent three months each year manually collecting utility data from 86 accounts, converting consumption figures to emissions using static EPA conversion factors, and assembling the annual sustainability report in PowerPoint. The resulting emissions estimates had a ±15% accuracy margin — adequate for voluntary reporting but far short of what auditable SEC climate disclosure would require. The SEC's proposed climate disclosure rules would mandate auditable Scope 1 and Scope 2 emissions data with internal controls and third-party verification — essentially the same rigor applied to financial reporting. Atlas had 18 months until the expected compliance deadline and zero infrastructure to meet it. Meanwhile, three of Atlas's largest customers had begun requiring supply chain emissions data as a condition of ongoing contracts, adding commercial urgency to the regulatory timeline.
- $42M annual energy bill with zero granular visibility into consumption drivers across 86 facilities
- Monthly utility PDFs processed for payment but never analyzed — no facility-level optimization or benchmarking
- Single sustainability analyst spent 3 months annually compiling emissions data with ±15% accuracy margin
- SEC climate disclosure rules approaching with zero infrastructure for auditable Scope 1 and Scope 2 reporting
- No standardized energy management practices — each of 86 facility managers operated independently
- 3 major customers requiring supply chain emissions data as a contract condition, adding commercial urgency
Our Solution
Advenno built GreenGrid as a three-layer platform: IoT data collection, ML-driven optimization, and automated reporting. At the physical layer, we deployed smart electrical meters and submeters at each of the 86 facilities, capturing energy consumption at the circuit level every 60 seconds. This granularity reveals exactly which systems — HVAC, lighting, compressed air, production equipment, IT infrastructure — consume how much energy at what times. Data flows through Apache Kafka to a time-series database on InfluxDB, supporting both real-time monitoring and historical analysis. The ML optimization layer analyzes consumption patterns against operational schedules, weather data, production volumes, and occupancy to identify specific waste opportunities. For example, the system detects when HVAC zones are conditioning unoccupied warehouse sections, when lighting operates during daylight hours in areas with adequate natural light, when compressed air systems show pressure drops indicating leaks, and when production equipment runs outside its energy-optimal operating parameters. Each finding is presented as a quantified recommendation — "Adjusting HVAC Zone 3 scheduling at Facility 42 would save $18,200 annually" — making it easy for facility managers to prioritize and act. The reporting layer automatically calculates Scope 1 emissions (from on-site combustion like natural gas boilers) and Scope 2 emissions (from purchased electricity) using EPA eGRID factors updated in real time. Reports are generated in SEC-compliant, GRI-aligned, and SASB-aligned formats with full audit trails showing every data point, calculation, and methodology — ready for third-party verification.
- IoT smart metering at circuit level across 86 facilities with 60-second consumption granularity
- ML pattern analysis identifying specific waste opportunities with quantified dollar-value recommendations
- Real-time energy dashboards with facility benchmarking, trend analysis, and anomaly detection
- Automated Scope 1 and Scope 2 emissions calculation using EPA eGRID factors with audit trails
- SEC-compliant, GRI-aligned, and SASB-aligned climate disclosure reports generated from live data
- Facility manager mobile app with alerts for consumption anomalies and optimization recommendations
- Executive sustainability dashboard with portfolio-wide carbon tracking and progress toward reduction targets
Our Approach
Energy Audit & Baseline Establishment
Conducted physical energy audits at 12 representative facilities across manufacturing, warehousing, and distribution categories. Analyzed 24 months of utility billing data to establish consumption baselines. Identified the top 10 energy waste categories ranked by annual cost impact — HVAC scheduling, compressed air leaks, and lighting controls accounted for 64% of the total savings opportunity.
IoT Infrastructure Deployment
Designed and deployed smart metering infrastructure at all 86 facilities over 16 weeks, installing 2,400 circuit-level submeters, main power monitors, gas flow meters, and environmental sensors. Worked with each facility's maintenance team to minimize operational disruption, completing most installations during planned maintenance windows or off-shift hours.
ML Model Training & Calibration
Trained optimization models using 3 months of high-granularity IoT data combined with weather data, production schedules, and occupancy patterns. Each facility type — manufacturing, warehouse, distribution — required a distinct model calibrated to its operational characteristics. Models were validated against known waste sources identified during physical audits.
Reporting Framework Development
Worked with Atlas's legal counsel and external ESG advisors to build reporting templates meeting SEC climate disclosure requirements, GRI Standards, and SASB industry-specific metrics. Implemented a comprehensive audit trail capturing every data point, transformation, and calculation methodology to support third-party verification.
Phased Rollout with Quick Win Campaigns
Deployed GreenGrid to the 20 highest-consuming facilities first, generating quick wins that funded further deployment. The first facility to implement all optimization recommendations reduced energy costs by 31% within 90 days — a case study that built enthusiasm for the remaining rollout across all 86 sites.
The Results
GreenGrid delivered transformational impact on both Atlas Industrial Holdings' operating costs and its regulatory readiness. Total energy consumption across the 86-facility portfolio decreased by 27%, translating to $11.3M in annual savings against the $42M baseline — making GreenGrid one of the highest-ROI projects in the company's history. The savings came from ML-identified optimizations: HVAC scheduling adjustments contributed 38% of savings, compressed air leak detection and repair contributed 22%, lighting control optimization contributed 18%, and equipment efficiency improvements contributed the remaining 22%. Carbon emissions decreased by 34,000 metric tons annually — the equivalent of removing 7,400 passenger vehicles from the road — progress that Atlas featured prominently in its ESG communications and investor relations materials. The ESG reporting process transformed from a 3-month manual ordeal to a 2-day review process, with reports auto-generated from live data with full audit trails. Atlas achieved SEC climate disclosure readiness 14 months ahead of the expected compliance deadline, positioning the company as an early adopter rather than a scrambling laggard. The three customers requiring supply chain emissions data received their reports within days of request — previously a months-long process — strengthening commercial relationships and resulting in expanded contract terms. Atlas's board approved a 5-year sustainability roadmap targeting 50% emission reduction, with GreenGrid providing the measurement and tracking infrastructure to hold the organization accountable to those commitments.
Return on Investment
Technologies Used
Integrations
GreenGrid turned energy from an invisible cost into a managed resource. Saving $11.3M annually would have been enough, but the real game-changer is SEC disclosure readiness. While our competitors are scrambling to figure out their emissions, we have auditable data flowing in real time from every facility.
Project Gallery
Lessons Learned
- Starting with the 20 highest-consuming facilities created quick wins that built organizational enthusiasm and self-funded the remaining deployment
- Circuit-level granularity was essential — facility-level totals hide the specific waste sources that ML models need to generate actionable recommendations
- Building the reporting framework to SEC-audit standards from day one avoided costly retrofitting when regulations were finalized
- Quantifying each recommendation in dollars rather than kilowatt-hours made energy optimization accessible to non-technical facility managers
Summary
Advenno built GreenGrid, an IoT-connected sustainability and energy management platform for Atlas Industrial Holdings' 86 facilities. Smart meters capture circuit-level consumption, ML models identify optimization opportunities, and automated reporting generates SEC-compliant ESG disclosures. Results: 27% energy reduction ($11.3M saved), 34,000 tons CO2 eliminated, and climate disclosure readiness achieved 14 months early.
Key Takeaways
- Circuit-level IoT metering revealed that HVAC, compressed air, and lighting accounted for 64% of total savings opportunity
- ML optimization recommendations with specific dollar values enabled facility managers to prioritize actions effectively
- Automating ESG reporting from 3 months to 2 days transformed sustainability from a compliance burden to a strategic capability
- Quick wins at the first 20 facilities generated enthusiasm and internal funding for the full 86-site rollout
- Customer supply chain emissions requirements added commercial urgency that complemented the regulatory compliance timeline
Frequently Asked Questions
Key Terms
- Scope 1 Emissions
- Direct greenhouse gas emissions from sources owned or controlled by the organization, such as on-site combustion of natural gas in boilers or vehicle fleet fuel consumption.
- Scope 2 Emissions
- Indirect greenhouse gas emissions from the generation of purchased electricity, steam, heating, or cooling consumed by the organization.
- eGRID
- EPA's Emissions & Generation Resource Integrated Database — providing data on the environmental characteristics of electric power generated in the United States, used to calculate Scope 2 emissions.
Facts & Statistics
Sources & Citations
- EPA: Energy Efficiency in Industrial Facilities
- SEC: Climate-Related Disclosure Rules
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