A single sectional can have 200+ configurations. Fabric. Frame. Finish. Dimensions. Lead times. Across dozens of manufacturers. These are the problems we solve.
Fabric options. Arm styles. Chaise orientations. Wood finishes. Leg heights. Custom dimensions. Multiply that complexity across hundreds of products from dozens of manufacturers — each with their own catalog format and pricing structure — and you understand why your team drowns in spreadsheets while customers can't find what you actually carry.
The platforms most furniture showrooms use were built when this was merely inconvenient. In the age of AI-mediated discovery, it's a visibility crisis.
The problem isn't your selection. It's your infrastructure.
Legacy retail platforms weren't designed for configuration complexity. They refresh weekly. They can't expose your actual in-stock inventory to the AI agents increasingly mediating how customers find furniture. When someone asks ChatGPT to find "a sectional under $4,000 with stain-resistant fabric that ships within two weeks," your inventory should surface. Neural Core makes that possible.
If your configurations aren't structured, your lead times aren't accurate, and your data isn't real-time — you don't exist in that conversation.