Design Retail Spaces with Data, Immersively on Apple Vision Pro 🚀

At SpatialDelivery.ai, we are revolutionizing the way store planners and designers create retail spaces with immersive AR store planning experiences on Apple Vision Pro. One of our most exciting innovations—currently in development—is the ability to query sales analytics using natural language while immersed in the design process. Imagine designing a flagship store and being able to instantly ask questions about sales data stored in systems like SAP or Oracle simply by speaking into the Vision Pro—this is the future we’re building. 🔍

Here are three key ways users will be able to leverage natural language to unlock actionable insights directly within their immersive design environment:

1. Ask High-Level Business Questions, Visually Embodied in Your Spatial Design 🎨

Store planners often need to understand broad performance trends to guide their designs. With Vision Pro, natural language queries transform into visual and spatial insights directly within the design environment. For instance:

• “Show me top-performing product categories as a heatmap overlay for this location last fall.” 🔬

• “Color-code regions by in-store sales growth over the past year.” 🌍

Users can see spatial heatmaps of where specific categories thrived, intuitively understanding customer flow and identifying spatial hotspots. These embodied insights allow planners to make data-driven adjustments in real time.

2. Drill Down into Specific Historic and Predictive Metrics Using Gaze, Gesture, and Voice 🌐

Details matter, and with Vision Pro, users can access relevant data spatially by interacting with their immersive environment. By combining gaze, gesture, and voice commands, planners can dive deeper into their data while staying immersed in the design process. Examples include:

• Gazing at a virtual product shelf and asking, “Sales data for these shelves during the holiday season?” 🎄

• Asking, “Analyze weekday vs. weekend sales trends in this spatial zone, as a 3D chart here.” 🔍

• Spatial Historical Comparison: “Overlay last fall’s sales heatmap onto this layout, side-by-side with the previous three years.” 🔴➖🔳

These interactions make it easy to understand the relationship between design and performance, allowing for more informed spatial adjustments.

3. Compare and Forecast Performance with Spatially Interactive Insights ⚖️

The ability to compare historical data and predict future trends is a critical advantage for store planners. Vision Pro transforms this capability into an immersive experience by enabling planners to visualize forecasts and comparisons spatially. For example:

• “Project sales for this new layout configuration during the upcoming quarter.” ⏰

• “How did sales in this store last fall compare to the previous three years?” 🌇

By spatially overlaying predictive models and historical data directly within the AR environment, planners can confidently make forward-looking decisions that are both visually intuitive and data-backed.

Why This Matters for Retail Design 🚀

By integrating natural language capabilities into immersive AR store planning, SpatialDelivery.ai is transforming how retailers design their spaces. The ability to ask sales analytics questions in real-time—with data sourced from systems like SAP or Oracle—by simply speaking into the Vision Pro eliminates barriers, empowering planners and designers to make informed decisions on the spot. Queries are no longer just data outputs; they are embodied, spatial transformations that bring insights to life. 📊

With tools like Gemini 2.0, DeepSeekR1, and OpenAI Operator, turning complex omnichannel sales data into actionable, immersive insights is more doable than ever. Vision Pro enables planners to rethink their retail spaces with a level of agility and precision that was previously unimaginable, ensuring retail designs are not just visually appealing but also optimized for performance. 🔄

What are your thoughts? How do you see immersive AR and natural language transforming the future of retail design? Let’s discuss! 🤔