Bidgely’s EmPOWER AI London Showcases AI‑Driven Grid and Customer Solutions

Bidgely’s EmPOWER AI London Showcases AI‑Driven Grid and Customer Solutions

Bidgely will host its EmPOWER AI conference in London from 10‑12 June, the latest stop on a tour that also includes Toronto and New York. The event will combine workshops, a new LCP Delta report, and product demos aimed at energy retailers seeking to improve electrification, load flexibility, customer experience and affordability.

EmPOWER AI London Program and New LCP Delta Report

The three‑day forum features custom workshops that move “from insights to action.” A joint report with energy research firm LCP Delta, titled “Home Asset Identification,” will be premiered. The report benchmarks methods for identifying assets such as heat pumps, electric vehicles, and solar PV, and argues that AI‑powered analytics outperform statistical approximations or hardware‑based monitoring. LCP Delta’s head of customer insight, David Trevithick, will present findings from the firm’s behavioural demand‑response research, noting that increasing home‑asset uptake makes demand profiles more distinctive and variable, thereby creating “greater opportunities for retailers to identify assets, target smart tariffs and flexibility propositions more effectively, improve demand forecasting and boost customer retention.”

AI‑Enabled Workshops Target Core Retailer Priorities

Four workshops will focus on the report’s priority areas:

  • Accelerating Electrification – Demonstrates how AI can pinpoint high‑impact EV customers and load‑growth hotspots. A case study cited a leading provider that achieved a three‑fold increase in kW‑reduction per vehicle versus the average EV population.
  • Modernizing Call Centers & CX – Shows integration of Bidgely’s AI insights into call‑center workflows, delivering a 7 % rise in customer satisfaction, a 3 % drop in average call‑handle time, a 3 % improvement in first‑call resolution, and an 85‑95 % confidence rating from service representatives.
  • Optimizing Load Flexibility – Presents a case where AI‑driven targeting reduced peak‑load usage by over 70 % among high‑peak customers through variable‑pricing programs.
  • Driving Energy Affordability – Explores how the Analytics Workbench (AWB) uncovered more than 8,200 hidden low‑income candidates, achieving a 2.3 % conversion rate from a single marketing touchpoint and doubling home‑energy‑audit capacity for rebate programs.

Attendees will also preview Bidgely’s new Interactive Voice Response (IVR) integrations with PolyAI, Genesys and NiCE, which use conversational AI to answer complex energy queries in real time.

Market Relevance for Energy Retailers

The conference’s focus on AI‑driven asset identification and customer engagement aligns with utilities’ need to manage rising electrification and tighter affordability pressures. By showcasing measurable outcomes—such as the 70 % peak‑load reduction and 7 % satisfaction lift—Bidgely provides concrete evidence that AI can enhance both grid operations and consumer interactions. The inclusion of independent research from LCP Delta adds credibility to the claimed advantages of AI over traditional analytics.

Key Takeaways

  • Bidgely’s EmPOWER AI London runs 10‑12 June and will debut the “Home Asset Identification” report with LCP Delta, which benchmarks AI‑based asset detection against statistical and hardware methods.
  • Workshop case studies cite a three‑fold increase in kW‑reduction per EV and a 70 % cut in peak‑load usage among targeted high‑peak customers.
  • Reported operational gains include a 7 % rise in customer satisfaction, a 3 % reduction in call‑handle time, and a 2.3 % conversion rate for low‑income outreach using the Analytics Workbench.

EnergyInsyte's Take

The London event offers utilities a practical view of how AI can be layered onto existing operations to address electrification and affordability challenges. While the showcased results are promising, executives should verify scalability across diverse portfolios and monitor how emerging AI integrations perform under real‑world load conditions. Continued observation of post‑event deployments will clarify the long‑term impact on grid reliability and cost structures.

Source: Businesswire

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