{"id":586,"date":"2024-02-26T16:34:33","date_gmt":"2024-02-26T08:34:33","guid":{"rendered":"https:\/\/buenoanalytics.com\/use-case\/curabitur-faucibus-viverra-diam-copy\/"},"modified":"2025-09-03T17:25:45","modified_gmt":"2025-09-03T07:25:45","slug":"woolworths-case-study","status":"publish","type":"case-study","link":"https:\/\/buenoanalytics.com\/us\/case-study\/woolworths-case-study\/","title":{"rendered":"Woolworths Group | Energy Management | Case Study"},"content":{"rendered":"
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Woolworths \u2013 Driving $80M+ in Savings Through Whole-Store Energy Optimization<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Woolworths Group, Australia\u2019s largest supermarket network, operates more than 1,200 stores<\/strong> nationally. With energy costs and sustainability expectations rising, Woolworths needed a smarter way to track consumption, detect inefficiencies, and benchmark store performance\u2014all in real time, across every energy-using system.<\/p>\n

Partnering with Bueno, Woolworths rolled out a full-store analytics platform built to manage energy across refrigeration, HVAC, lighting, and solar. At the heart of this strategy is Energy Slip<\/strong>\u2014a predictive tool that flags underperforming sites and unlocks major efficiency opportunities at scale.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The Challenge \u2013 Hidden energy waste across a complex retail environment\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Even with high-quality infrastructure and good maintenance practices, store energy use can drift silently over time. Factors like equipment overrides, control logic issues, and schedule creep rarely raise alarms, but they add up\u2014especially across 1,200+ sites.<\/p>\n

Woolworths needed a way to identify and fix these issues early, before they impacted budgets or sustainability targets<\/strong>, without relying on manual reviews or guesswork.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\u201cBueno gives us the ability to manage our entire energy footprint\u2014not just refrigeration\u2014in a smarter way. We can see which stores are drifting, prioritize fixes, and hold teams accountable to efficiency targets.\u201d\n\u2014 Woolworths Energy & Sustainability Team<\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The Journey Begins \u2013 A predictive approach to portfolio-wide energy control\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Woolworths deployed Bueno across its entire grocery network, integrating with BMS systems, meters, and other in-store infrastructure to collect data every 5 minutes<\/strong> from 178,000+ devices<\/strong>. The platform provides near real-time insight into energy use across all major systems.<\/p>\n

The key ingredient: Energy Slip<\/h6>\n

Bueno\u2019s proprietary Energy Slip engine<\/strong> calculates what each store should<\/em> be consuming based on location, equipment type, and environmental conditions. When actual usage deviates from the model, the platform flags that site for action\u2014prioritizing performance drift and enabling timely intervention.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The Results \u2013 Quantifying efficiency gains at national scale<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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With predictive analytics and automated benchmarking in place, Woolworths transformed how it manages energy across the network:<\/p>\n

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    Annual Energy Cost Savings:<\/strong> Over $80 million<\/strong> (cumulative)<\/p>\n<\/li>\n

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    Emissions Reduction:<\/strong> 27% reduction in total carbon emissions<\/p>\n<\/li>\n

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    Full-Site Monitoring:<\/strong> 1,200+ stores actively tracked<\/p>\n<\/li>\n

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    Cross-System Analytics:<\/strong> Refrigeration, HVAC, lighting, and solar in one platform<\/p>\n<\/li>\n

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    Reduced Manual Review:<\/strong> Energy outliers are flagged automatically<\/p>\n<\/li>\n

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    Portfolio Benchmarking:<\/strong> Store ranking supports targeted follow-up and investment<\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    Woolworths\u2019 energy analytics platform now supports a more strategic, data-driven approach to portfolio performance:<\/p>\n

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      Prevent Energy Drift<\/strong>: Early detection before costs rise<\/p>\n<\/li>\n

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      Improve Consistency<\/strong>: Insights standardize operations across diverse stores<\/p>\n<\/li>\n

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      Validate Upgrades<\/strong>: Built-in measurement and verification tools (M&V)<\/p>\n<\/li>\n

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      Surface Control Issues<\/strong>: From overrides to peak load mismanagement<\/p>\n<\/li>\n

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      Track ESG Progress<\/strong>: Benchmark progress toward energy and emissions targets<\/p>\n<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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      Conclusion \/ Next Steps \u2013 Building the future of grocery energy management<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Woolworths\u2019 results show what\u2019s possible when predictive analytics meets energy strategy. With Energy Slip and full-site visibility, the business has gained control over energy consumption, performance drift, and operational variance\u2014while reducing costs and emissions in parallel.<\/p>\n

      Bueno continues to support Woolworths in applying these insights across its network, reinforcing a leadership position in retail sustainability and energy intelligence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

      Woolworths partnered with Bueno Analytics to reduce refrigeration faults, cut energy use, and support sustainability targets across stores through smart building analytics.<\/p>","protected":false},"featured_media":3251,"template":"","segment":[122],"class_list":["post-586","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","segment-grocery"],"_links":{"self":[{"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/case-study\/586"}],"collection":[{"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/case-study"}],"about":[{"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/types\/case-study"}],"version-history":[{"count":0,"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/case-study\/586\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/media\/3251"}],"wp:attachment":[{"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/media?parent=586"}],"wp:term":[{"taxonomy":"segment","embeddable":true,"href":"https:\/\/buenoanalytics.com\/us\/wp-json\/wp\/v2\/segment?post=586"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}