Retail planning teams are constantly balancing competing priorities: inventory risks, opportunities and store performance issues all demand attention at the same time.

Yet, the real challenge isn’t identifying that something needs attention. It’s understanding what to do about it quickly. In most organizations, planners still need to move across multiple dashboards, reports and tools just to answer basic questions like: Why is this product running out in some stores? Where is inventory building up? What should be prioritized first?

The result is a fragmented workflow where time is spent switching between systems rather than making decisions, despite most retailers already having more data than they can effectively use.

The problem isn’t data availability, it’s execution: the time it takes to turn data into clarity and then into action.

That’s exactly what invent.ai’s Monday Action Board is designed to solve.

What is the Monday Action Board?

The Monday Action Board is built to give planners clarity at the start of every week.

Instead of searching across reports and dashboards, it brings together the most important retail signals into one place, highlighting where attention is needed and what actions are recommended.

It surfaces priorities across:

• Inventory risks
• Overstocks and imbalances
• Store-level performance issues

So planners can immediately focus on the decisions that matter most. However, identifying a recommendation is only the beginning.

Recommendations naturally lead to questions

Once a planner sees an issue, the next step is understanding why it’s happening. Typical follow-up questions include:

• Which stores are driving this issue?
• Which product-store combinations are contributing most?
• How has this changed over time?
• What signals triggered this recommendation?
• Where should action be prioritized first?

Historically, answering these questions required leaving the workflow: opening separate tools, running reports or requesting additional analysis. Each step added friction and slowed decision-making.

Introducing Remi in the Monday Action Board

To remove this friction, invent.ai has embedded the Remi AI chat directly into the Monday Action Board.

Powered by analytics agents, Remi allows planners to ask questions about products, stores, inventory and performance without switching tools. It’s available directly within the board, meaning planners can move from seeing a recommendation to investigating it immediately in context.

Instead of breaking their flow to search for answers elsewhere, they stay in the same environment where decisions are made. The result is a faster, more connected planning experience.

Investigating recommendations in context

One of the most important capabilities of Remi is that it understands context automatically. It’s aware of the products being viewed, stores being analyzed and active filters and selections in context with recommendations.

This means planners don’t need to restate background information or rebuild context every time they ask a question. They can simply ask questions like:

• What are the top 10 product-store pairs driving this overstock risk?
• Which stores are contributing most to the imbalance?
• What trends have emerged over the last four weeks?
• Which categories need immediate attention?

Each response is grounded in the current planning context and answers are immediately relevant and actionable. This significantly reduces investigation time and speeds up the path from question to insight.

From recommendation to execution in a single workflow

Retail planning is often fragmented across disconnected systems. A planner identifies an issue in one tool, investigates it in another and executes actions somewhere else entirely.

Monday Action Board changes this by bringing the full workflow into one place.

Planners can now view prioritized recommendations and ask follow-up questions. They can also investigate underlying drivers, understand business outcomes and take direct action — all within a single environment.

This reduces time lost switching between tools and allows teams to focus more on decision-making rather than data gathering.

Analytics agents where planners need them most

Behind Remi is an architecture of agents. Invent.ai’s analytics agents enable real-time analysis of retail data across products, stores and categories.

While analytics agents power the intelligence, Monday Action Board brings that intelligence directly into the planning workflow. Together, they enable planners to explore data, understand recommendations and uncover insights without interrupting their work.

The result is faster analysis, easier access to answers and more confident decisions.

Making retail intelligence easier to use in everyday work

At invent.ai, the focus is on embedding intelligence directly into how retail teams already work

The integration of Remi into the Monday Action Board is another step in that direction, bringing recommendations, analytics and contextual investigation into a single experience. Now, the Remi embedded chat window better enables questions in context

By combining planning priorities with conversational analytics, planners can move seamlessly from recommendation and understanding to action. Faster, simpler and without leaving the workflow.

Because the best decisions happen when answers are available exactly when and where they’re needed.

Ready to see the Monday Action Board and Remi in action? Get in touch to see how retail teams move from insight to action in one workflow.