Majors Management, the Lawrenceville, Ga.-based operator of more than 1,400 convenience stores across 21 states, has partnered with software engineering firm ResultStack to deploy AI and machine learning across its daily operations. The deal targets five core areas - pricing, inventory management, loyalty programs, labor planning, and customer experience - bringing automation and predictive tools directly into the workflows that determine store profitability.
Majors Management runs stores under the MAPCO brand and supplies fuel through its wholesale network. The company ranked No. 24 on the 2026 Convenience Store News Top 100. ResultStack, headquartered in Knoxville, Tenn., builds AI systems for retail, transportation, and convenience businesses.
Where the AI will hit operations first
The partnership focuses on practical applications rather than experimental pilots. Pricing decisions, which shift constantly in the fuel and convenience sector, will get machine learning support that reacts to local competition and demand signals. Inventory systems will use AI to reduce stockouts and excess ordering. Labor planning tools will aim to match staffing levels more precisely to store traffic patterns.
Howard Hyche, chief information officer of Majors Management, framed the deal as a response to persistent operational friction. "Partnering with ResultStack gives us a real opportunity to tackle the inefficiencies that have lingered in our industry for far too long," he said. "Ben and his team bring both the technical expertise and the outside perspective we need to move faster, and we expect their contribution to be central to where Majors Management goes from here."
For operations teams managing multi-site retail networks, these are the same pain points that have resisted purely manual optimization for years. AI for operations in convenience retail means algorithms that process transaction data, fuel pricing trends, and staffing schedules simultaneously - a calculation load that overwhelms spreadsheet-based planning.
Why ResultStack took the deal
Ben Farmer, CEO of ResultStack, described the Majors environment as an ideal proving ground for enterprise AI. "Majors Management runs a business where the operating environment is genuinely complex and the stakes are tangible - fueling transactions, pricing decisions and customer touchpoints happening every minute across a national network," Farmer said. "That's where the AI and machine learning capabilities we've invested in for years actually pay off."
The comment underscores a practical reality: AI tools show their value fastest in environments with high transaction volumes, thin margins, and decisions that compound across hundreds or thousands of locations.
Why this matters for operations professionals
This partnership signals where convenience retail operations are heading. For operations managers, the takeaway is not that AI will replace judgment - it's that manual pricing updates, inventory counts, and shift planning will increasingly move to automated systems. The operators who learn to work alongside these tools, interpreting their outputs and refining their inputs, will run tighter stores. Those who don't will compete against networks that can reprice fuel in minutes and adjust labor allocations before a rush hits. For structured training on applying these tools, the AI Learning Path for Operations Managers covers process optimization, supply chain automation, and workflow design for multi-site environments.
Your membership also unlocks:
