What is KINEXA™?
KINEXA™ is ASKT’s free AI chair design tool inside SUNBIN AI. It helps furniture buyers create dining chair concepts by choosing a seat shell, material, color, and frame through a guided design workflow.
Unlike a traditional product catalog, KINEXA does not ask users to passively browse existing models. It allows users to actively build chair directions based on market needs, style preferences, customer groups, and sales channels.
KINEXA is especially useful for buyers who want to find new best-selling chair styles but do not want to start from a blank brief, hire a designer for every idea, or wait too long for early visual concepts.
Watch How KINEXA Works
See how KINEXA helps furniture buyers move from a chair idea to a visual concept through a guided AI design workflow.
Four-Step AI Chair Design Workflow
Choose a Seat Shell
Start with the chair’s main shape. The seat shell defines the first impression of the product: compact, soft, architectural, casual, premium, or versatile.
Select a Material
Choose the material family that fits your target market and price positioning. Material changes not only the look of the chair, but also its tactile feeling, category fit, and customer appeal.
Define the Color Direction
Move from a general material idea to a concrete colorway. KINEXA helps buyers compare color directions such as taupe, cream, dark grey, olive green, or blue, so the concept becomes easier to evaluate for a real market.
Match the Frame
Complete the chair concept by selecting the frame. The frame affects the final silhouette, price logic, assembly format, and overall product positioning.
Who Can Use KINEXA?
KINEXA is built for business users, not only trained designers.
Small furniture companies can use it to create early chair concepts without hiring a full design team.
Large retailers can use it to speed up repetitive concept exploration before involving expensive design resources.
Purchasers and product managers can use it to turn market knowledge into visual product directions.
Wholesalers and importers can use it to compare styles, create private-label ideas, and prepare better sourcing discussions.
Online sellers can use it to test visual directions for e-commerce collections.
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