Hisensehitachi cuts Scope 1 & 2 emissions 48% with IoT-driven sustainability transformation at Qingdao
Hisensehitachi deployed Predictive ML for Energy Management in Consumer Goods. As reported by weforum.org: 48% scope 1 & 2 emissions reduction.
Source-reported figures — cited source: weforum.org
What Hisensehitachi was trying to fix
Hisensehitachi needed to advance its sustainability targets by addressing emissions across the entire product lifecycle, from in-house refrigerant leakage (the largest share of Scope 1) to material sourcing and customer usage (over 90% of Scope 3).
What Hisensehitachi deployed
The company deployed 27 4IR solutions at its Qingdao site using IoT and advanced analytics to reduce refrigerant leakage, redesign key processes, and implement tailored control strategies for environmental parameters at customer sites.
Results
Refrigerant leakage was reduced by 56%, Scope 1 and 2 emissions cut by 48%, and Scope 3 emissions from product use reduced by 28% through tailored control strategies.
Key Takeaways
- IoT and analytics enable lifecycle emissions reduction from factory to customer site
- Targeting refrigerant leakage (the largest share of Scope 1) delivers outsized sustainability impact
- 28% Scope 3 reduction shows how smart product controls extend factory sustainability
Evidence for Hisensehitachi's Energy Management deployment
- Reported outcome metrics
- 3 cited below
- Cited source
- weforum.org
- Last updated
Explore Related
Details
- Industry
- Consumer Goods
- Use Case
- Energy Management
- AI Technology
- Predictive ML
- Company Size
- Enterprise
- Company
- Hisensehitachi
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