How are Convenience Stores Meeting Energy Efficiency Goals?

Convenience stores (or C Stores) remain a vital necessity for many consumers. In today’s world, convenience stores are designed to be open everyday at all hours, and they are also expected to have all types of items a shopper might need. But with 24/7 operations throughout the year, this means convenient locations are using up a lot of energy. In turn, that means higher bills and costs to keep them running. Per DSO Electric, over 75 percent of that energy alone is just used for the lighting and refrigeration needs of the store.

The rise of the convenience store has skyrocketed with the increase of cars on the road, and this likely won’t change. More cars equals more gas stations, and gas stations are usually accompanied with a convenience store. And that means more energy is being used. How can convenience stores manage to be energy-efficient while still meeting customer demands?

On “ENTOUCH” podcast, Tyler Kern interviewed ENTOUCH’s CEO, Jon Bolen and the company’s EVP of Sales and Marketing, Todd Brinegar on what exactly owners of C stores can do to save costs and energy.

“The evolution to a C store today is a restaurant, it’s a grocery store, it is migrated so much past just walk-in coles that you can get a full sit down meal at a lot of convenience stores today,” said Brinegar.

“The marketplace is demanding that convenience stores begin to adapt. The idea of sustainability and energy-savings is really permeating everything we do and everything we buy,” said Bolen.

Follow us on social media for the latest updates in B2B!

Image

Latest

custom AI chips
Custom AI Chips Signal Segmentation for AI Teams, While NVIDIA Sets the Performance Ceiling for Cutting-Edge AI
February 18, 2026

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

Read More
GPUs
OpenAI–Cerebras Deal Signals Selective Inference Optimization, Not Replacement of GPUs
February 18, 2026

OpenAI’s partnership with Cerebras has raised questions about the future of GPUs in inference workloads. Cerebras uses a wafer-scale architecture that places an entire cluster onto a single silicon chip. This design reduces communication overhead and is built to improve latency and throughput for large-scale inference. Mark Jackson, Senior Product Manager at QumulusAI, says…

Read More
nvidia rubin
NVIDIA Rubin Brings 5x Inference Gains for Video and Large Context AI, Not Everyday Workloads
February 18, 2026

NVIDIA’s Rubin GPUs are expected to deliver a substantial increase in inference performance in 2026. The company claims up to 5 times the performance of B200s and B300s systems. These gains signal a major step forward in raw inference capability. Mark Jackson, Senior Product Manager at QumulusAI, explains that this level of performance is…

Read More
autonomous trucking
Autonomous Trucking Can Shrink Coast-to-Coast Delivery Times and Increase Fleet Productivity
February 18, 2026

The idea of a self-driving 80,000-pound truck barreling down the interstate once felt like science fiction. Now, it’s operating on real freight lanes in Texas. After years of hype and recalibration, autonomous trucking is entering its proving ground. Persistent driver shortages and rising freight demand have forced the industry to look beyond incremental improvements. The…

Read More