Dr. Mark Chrystal, CEO & Founder of Profitmind talks about the benefits of AI-powered retail platforms and their crucial role in powering modern retail experiences in this SalesTechStar interview:
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Hi Dr. Mark, tell us about Profitmind and the journey so far, what highlights would you like to share around your recent funding?
Profitmind is one of the first retail technology companies built by retail operators. Based on our decades of industry experience, we designed and built a solution that addresses real daily pain points and creates measurable value. Our $9 million Series A plus our partnerships with global leaders Accenture and Microsoft validate that what we have built is resonating in the industry. Our goal now is to use this new funding to scale Profitmind deployments across the sector and to continue working with retailers to solve problems that no other software adequately handles today.
How are all-in-one retail AI platforms transforming end to end retail cycles around the world, can you talk about leading brands that have adopted the know how well and what takeaways others can grab for this?
AI cannot reach its potential inside fragmented systems. The legacy software model pushed retailers into data and operational silos, but the new standard — which we are spearheading with Profitmind — will allow retail platforms to connect directly to one another without creating new silos, and integrate in days, not months. As we deploy, we drive strong time to value because retailers don’t need to replace their legacy investments, and we start creating financial impact as soon as our platform goes live. Profitmind sits right on top of the existing tech stack and gets to work. This is the future of AI deployments: lighter weight, integrated into the retailer’s existing data, and offering rapid ROI.
What tips would you share with smaller to mid-sized retailers looking to automate various aspects of their retail functions, how can they effectively navigate the adoption and deployment of these tools?
The retailers who win the next decade will not be those with the biggest software budgets but the ones who master their data, build where it matters, and move at the speed of AI. The key to achieving this is adoption. The biggest barriers we currently see are resistance, fear and pushback from the user team regarding adoption. This is existential for retailers and it’s why we partnered with Accenture. The experts in their retail practice excel at helping retailers address adoption concerns and guiding them onto a path where even small and mid-size businesses can rapidly leverage the business benefits of AI, particularly agentic AI. Ultimately, I believe retailers need a partner to coach them to be successful on this journey.
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As retail AI becomes the norm, how will buying and selling cycles change in future?
I will make some bold statements here: I think the days of lengthy and resource-intensive software implementations are numbered. Pricey, vendor-led software customization is also falling out of favor. Every retailer — every business, really — now has the tools to make the build-or-buy decision, regardless of their size. This was once the purview of deep-pocketed giants like Walmart and others of that size and scale, but that is no longer true. Retailers will increasingly build their own solutions, and specialty software companies will disappear completely. This talent will transition into the industry to develop tailored solutions for businesses that identify a competitive advantage achievable through a custom-built solution or capability. These are the reasons why I think buying and selling cycles will change completely over the next few years. Retailers will buy off-the-shelf solutions to handle core needs and end-to-end tools, and they will likely build their own specialty solutions or purchase lightweight, easily customizable options from the market, which they will then tailor to their specific needs.
What tips can modern retailers look at practicing to ensure a healthy balance between automation and the much needed human element?
AI will be capable of automating all rote tasks, including analytics, data, competitive intelligence, financial planning, and accounting. It is essentially already operating at this level today, but it’s just not fully adopted yet. Because AI will manage the time-intensive “grunt work,” human teams will be freed to focus their energy on high-value responsibilities like strategy, physical execution and customer experience. Companies will likely thin out their retail teams and reallocate those resources into customer-facing, product development, and physical execution roles. In essence, AI is sending us back to the future by returning us to fundamentals — directing machines to handle the operational work while people refocus on what they’ve always done best: building great products and delivering exceptional experiences.
Five thoughts on the future of AI and sales before we wrap up?
Success will depend on:
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- Unifying data into a single source across the business
- Treating data as a primary competitive advantage
- Using software to create and amplify competitive edge
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Retailers who fail to unify their data, leverage AI agents, and move in this direction will be displaced, and quickly. As for sales itself, the current model won’t exist in five years: routine transactions will occur agent-to-agent, while human interaction will be reserved for products and experiences that demand it.
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About Profitmind
Profitmind, based in Pittsburgh, is a decision intelligence platform built by retail operators for retail operators. The platform is designed to help merchants, planners, and marketers move faster in a market that changes in real time. Its native agentic AI architecture unifies a retailer’s strategy, internal data, and external competitive signals to deliver prioritized, explainable recommendations across pricing, promotions, inventory, marketing, and assortment, and continuously improves based on business outcomes.
About Dr. Mark Chrystal
As CEO, Dr. Mark Chrystal guides Profitmind’s strategic vision and operations. He previously served as Chief Analytics & Technology Officer at rue21, where he led business turnaround work grounded in customer behavior and analytics. He has also held senior leadership roles including Chief Supply Chain Officer at David’s Bridal and SVP, eCommerce, Planning & Allocation at rue21, with earlier roles spanning American Eagle Outfitters, Disney Store, and Victoria’s Secret.