13 Apr 2026
4 min read
Continuous improvement in retail is no longer occasional. It’s continuous, iterative, and driven by data and AI.
In a recent Wavicle-sponsored episode of TAG Data Talk, Dr. Beverly Wright speaks with Anise Hedri about how retail organizations are transforming decision-making through data and AI.
This blog distills five key takeaways from the conversation, highlighting how leaders can build a strong foundation for continuous improvement.
Speaker details
- Host: Dr. Beverly Wright – Executive in Residence at Institute for Insight, Georgia State University
- Guest speaker: Anise Hedri – Chief Enterprise Architect, Floor & Decor
1. Improvement no longer occasional. It’s continuous!
In the past, organizations improved through phased initiatives like process re‑engineering. Anise explains that this approach no longer works in a fast‑moving, technology‑driven environment. Today, improvement requires constant iteration and sustained investment in technology.
“The best way to make incremental improvements… is to continually improve, test, and learn.”
In the AI space right now, continually improve, test, and learn. That type of activity is the way to make real progress.
2. Business and technology alignment drives real impact
Continuous improvement is no longer owned solely by engineering teams. Business leaders now play a direct role in shaping how technology is applied to improve outcomes because they understand the tools and their potential.
“When the business really understands the tool and how to leverage the tool, they become a lot more powerful. They exactly know how to leverage technology to improve their processes. In those scenarios, you’re cooking with grease. Because, the folks who are running the business know how to leverage technology, and then the technologists know how to deliver it extremely well.”
3. Gut instincts still matter. Data makes it smarter
Retail decision‑making has always relied on experience, especially in merchandising. Anise is clear that data doesn’t replace that experience; it strengthens it by adding structure and insight.
“You have experiential data; you don’t leave the art behind. But you start to use structured data to help you make decisions, and the advancements in technology have merely made that possible.”
4. Technology isn’t the biggest barrier anymore. People are!
With cloud platforms, analytics tools, and AI more accessible than ever, technology itself is no longer the primary obstacle. The real challenge lies in trust, skills, and alignment—getting teams comfortable making and acting on data‑driven decisions.
“The technology is pretty much there. The hard part now is really making sure that the folks who want to make decisions through data are comfortable doing that and then pulling in the right folks that know how to do that.”
5. Continuous improvement requires measurement and iteration
Sustainable improvement doesn’t come from one‑off projects. It requires ongoing investment, clear measurement of impact, and a willingness to learn from both successes and failures. Over time, this creates momentum that feeds further improvement.
“Every change you make has an impact. Sometimes it’s big, sometimes it’s small, and sometimes it’s a failure, and you learn from it.”
Final takeaway
This conversation reinforces one core idea: Data and AI create real impact when paired with trust, alignment, and long‑term commitment. Continuous improvement isn’t a destination; it’s a mindset that strengthens organizations over time.
Watch the full podcast below:
If you’re looking to modernize your data platform, enable better decision‑making, and build a culture of continuous improvement, Wavicle can help. Connect with us to explore how data and AI‑driven transformation can be applied practically across your business.
Disclaimer: Quotes in this blog are excerpted from a longer conversation and have been edited for length and clarity.
