Retail has changed. Associates now fulfil online orders, handle complex inventory workflows, and deliver real-time customer service all within the same shift. Scheduling alone can't keep up, and the technology market is responding.
For the fifth consecutive time, Quinyx has been recognised as a Representative Vendor in the 2026 Gartner® Market Guide for Retail workforce management Technology (March 4, 2026). We believe this continued recognition reflects the depth of our capabilities across AI-powered scheduling, operational compliance, and frontline employee experience. More than that, though, this year's report paints a clear picture of where the market is heading, and we think it's worth unpacking.
Whether you're evaluating WFM technology for the first time or rethinking a legacy system, we believe the report offers a useful framework for understanding what's happening in the market, which capabilities matter, and which questions are worth asking when you start talking to vendors.
Core functions like time and attendance, absence management and scheduling remain the foundation of retail WFM. But the report is clear: core functionalities, such as time and attendance, absence management, task management and scheduling, remain the foundation of retail WFM technology. However, the market landscape is undergoing transformation. AI‑enabled capabilities – including predictive workforce optimisation, guided task execution, skills‑based labour allocation and natural language interfaces – are becoming increasingly common as retailers work to manage rising operational complexity and ongoing labour constraints. Platforms are also increasingly required to connect with point-of-sale systems, IoT devices, and store operations data to support real-time labour decisions. The report describes modern WFM platforms as evolving into intelligent, integrated solutions that unify core workforce functions with advanced AI and real-time data, enabling retailers to operate with greater agility, efficiency and resilience at scale.
Most WFM platforms today use AI to analyse historical data and produce staffing forecasts. That's shifting quickly. Emerging agentic capabilities now allow systems to handle low-risk, routine decisions without human input, from filling open shifts and routing approvals to resolving time-punch discrepancies, all within defined guardrails.
The investment intent at the senior leadership level is clear. The Gartner 2026 CIO and Technology Executive Survey, cited in the Market Guide, found that 67% of CIOs plan to increase their investment in associate-facing GenAI assistants this year.
AI assistants within WFM platforms are moving from pilot projects to mainstream deployments. Retailers still treating this as a future consideration are already behind the curve.
As retail roles get more cross-functional, the ability to match associates to tasks based on their verified qualifications is becoming essential. Gartner projects that by 2028, AI-enabled skills management will allow 40% of open shifts to be filled autonomously, matching specific certifications, such as pharmacy or bakery qualifications, to associates' preferences, without any manager intervention.*
For retailers managing specialist roles or operating in regulated environments, this is a meaningful operational shift. It also changes what you should expect from a WFM platform when you're comparing options.
Retail associates are managing too many separate tools. The market is consolidating around a simpler model. Gartner predicts that by 2027, over half of Tier 1 unified commerce retailers will consolidate mobile scheduling, tasking and frontline communications together into a single associate-facing experience.*
A single mobile entry point for scheduling, tasks, communications and learning is moving from a nice-to-have to a baseline expectation. Retailers still asking associates to switch between several apps are quietly building a disadvantage into their day-to-day operations.
The 2026 Gartner® Market Guide for Retail Workforce Management Technology makes three recommendations for retail operations and technology leaders.
Invest in AI-enabled labour forecasting, automated scheduling and skills-based matching to improve scheduling accuracy, responsiveness and associate agility.
Ensure WFM platforms integrate with POS, IoT, and store operations systems to support real-time labour optimisation and unified commerce execution.
Adopt WFM solutions that embed governed AI assistants to provide associates with real-time task, policy and product guidance while maintaining compliance and control.
The trends in this report match closely with what Quinyx hears from retailers across EMEA and beyond. The ambition to adopt AI and consolidate tools is there. The difficulty is finding a platform that can actually deliver at scale, across different markets, compliance environments and workforce structures.
We believe our fifth consecutive recognition in the Gartner® Market Guide reflects the range of what Quinyx does across these areas. Quinyx Optimise uses over 40 forecasting methods and more than 25 proprietary algorithms to build optimal staffing plans, with managers keeping full control through human sign-off at every stage. Quinyx Engage brings scheduling, task management and frontline communications together in one mobile-first app. McDonald's Sweden sees a 93% daily app login rate, and Starbucks UK cut scheduling time by 87.5%. Quinyx Manage handles the compliance complexity of operating across EMEA by embedding labour law requirements directly into scheduling logic rather than bolting them on afterwards.
If you're in the market for WFM technology, the Gartner Market Guide is a practical starting point. Use it to set your evaluation criteria, benchmark what the market offers, and determine which capabilities matter most in your specific context.
*Source: Gartner, Market Guide for Retail Workforce Management Technology, 4 March 2026, Kelsie Marian, Josie Xing.
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