Retail promotions drive traffic, protect margin, and build customer loyalty. They also require some of the most complex, cross-functional work in the entire retail organization. Offers need to be structured, forecasts need to be interpreted, and approvals need to move. And through all of it, planners are expected to make fast, confident decisions; often with incomplete information and limited time.
Generic AI tools weren’t designed for this. They answer broad questions, but they don’t understand how promotion teams actually work. That gap is exactly what Cognira set out to close.
Today, we’re introducing Cora; Cognira’s AI agent for retail promotion planning, built natively into PromoAI. Cora is designed not as a chatbot layered on top of existing software, but as a working intelligence embedded directly in the promotion planning workflow. She helps planners understand their work, move through it more efficiently, and make better-informed decisions at every step.
Why promotion planning needs its own AI agent
Retail AI is no longer a future concept. Retailers across every segment are actively evaluating where AI can deliver real operational value; and promotion planning is emerging as one of the clearest opportunities.
Promotions touch nearly every part of the retail organization: merchandising, marketing, finance, and vendor relationships all converge on the same decisions. The volume of variables; offer structures, lift forecasts, timing, funding sources, approval workflows; makes it genuinely difficult for any individual or team to hold everything in view at once.
Promotion planning software plays a critical role in helping retailers manage this complexity. Platforms like PromoAI bring together the data, workflows, forecasts, and processes needed to plan and execute promotions effectively. Cora builds on that foundation by helping users navigate those capabilities more efficiently, better understand the decisions in front of them, and move through their work with greater confidence.
AI agents for retail have the potential to change this. But only if they’re built for the specific context where planners actually work.
Introducing Cora: AI built for how promotion teams operate
Cora is Cognira’s answer to that challenge. Rather than applying general-purpose AI to promotion planning, we built an agent that understands PromoAI’s data, processes, and terminology; and can assist users in the moments that matter most.
Cora is designed around five core capabilities.
Understand: Instant answers, in context
Promotion planning systems are dense. Processes aren’t always documented, and when a question comes up; for example: How is margin calculated here? Where do I add vendor funding? What does this field actually do?; the options are typically to search documentation, interrupt a colleague, or guess.
Cora gives planners a faster path. She answers questions in plain language, directly within the context of the work in front of them. For new users still building proficiency, that means a shorter path. For experienced planners, it means fewer interruptions and less time lost to procedural lookups.
Guide: Fewer clicks, more focus
Even users who know the system well don’t always know the most efficient way to do what they need. Cora helps with navigation; not just pointing users to the right screen, but understanding intent and surfacing logical next steps based on current context.
If a planner knows what they’re trying to accomplish but isn’t sure where to go, Cora can take them there directly. If they’ve stepped away from a task and need to return, she can help them pick up where they left off. The result is less time spent navigating and more time spent on the decisions that actually require human judgment.
Create: From intent to execution, faster
Building a promotion in PromoAI involves moving across multiple screens, capturing the right details, and ensuring nothing is missed. It’s a necessary process; but a time-consuming one.
With Cora, planners can describe what they want to build in natural language. If she has enough information, she can prepare a draft for review. If she needs more detail, she asks; guiding the conversation step by step until the promotion or campaign is ready.
This isn’t about removing planners from the process. It’s about reducing the administrative effort between intent and execution, so they can focus their time on decisions rather than data entry. This is retail automation applied precisely where it creates the most value.
Explain: Making analytics actionable
Analytics are a core part of effective promotion planning, but understanding the story behind the numbers often requires additional investigation. Users may want to understand why a promotional forecast looks the way it does, how similar promotions performed in the past, or which offer types have historically delivered the strongest results.
Cora helps make those insights more accessible. By translating analytical outputs into plain-language explanations and answering follow-up questions, she helps users better understand the factors influencing performance and the decisions in front of them.
Whether the question is about a promotional forecast, historical results, or broader performance trends, the goal is the same: helping planners move from data to understanding more quickly.
Resolve: Turning obstacles into next steps
Promotion planning rarely follows a straight line. Information goes missing, warnings appear and decisions need to be revisited. What’s often most frustrating isn’t the issue itself; it’s not knowing what to do about it.
Cora helps users move through those moments. She can identify what’s missing, work through system warnings and error messages, and recommend the specific updates needed to keep work moving forward. Instead of leaving planners to interpret system feedback on their own, she turns friction into a clear path forward.
A practical take on AI in retail
There’s no shortage of ambition in the retail AI space. Vendors are promising autonomous operations, end-to-end transformation, and sweeping reinvention of how retail works. Some of those claims will prove out. But many won’t.
At Cognira, we believe the most valuable applications of AI in retail are those that reduce real friction, support better decisions, and fit naturally into the way teams already work; without requiring a wholesale change in process or a leap of faith in technology that hasn’t been tested in context.
That’s what Cora is built to do. Her capabilities aren’t hypothetical. They’re already helping promotion teams work more effectively today. And they establish a foundation for continued development as Cora evolves alongside the needs of the retailers we work with.
What this means for retail promotion teams
The greatest opportunities for AI aren’t found in demonstrations or novelty. They’re found in the everyday decisions and workflows that drive business performance.
Promotion planning is one of those opportunities. It’s high-stakes, cross-functional, and operationally intensive; exactly the kind of work where intelligent assistance can help teams move more efficiently, make better decisions, and create lasting value over time.
That’s where Cora fits. By helping users understand, navigate, create, explain, and resolve their work more effectively, Cora allows promotion teams to spend less time managing processes and more time applying their expertise.