For manufacturers and catalog partners
Chineti.ai connects real manufacturer products to AI interior concepts, room quantities, BOQ estimates and delivery planning before a buyer sends a request.
Why join
The goal is not another marketplace shelf. The goal is to place suitable products into real rooms at the moment when budget, quantity and delivery are being calculated.
Products are matched to living rooms, kitchens, bedrooms, bathrooms and office zones.
Catalog items get consistent names, categories, dimensions, styles and price bands.
Requests include room type, quantity, budget level, destination and delivery logic.
Furniture starts the pilot; flooring, tile, lighting, sanitary and decor follow next.
Catalog logic
Chineti.ai is not a generator of fantasy interiors. Every supplier upload should enter a clear product group first, then become searchable SKU data for rooms, BOQ, prices and delivery.
Main idea
A sofa, tile, lamp or vanity should not land in one mixed folder. It should be routed into a product group, normalized into SKU fields, connected to room zones, counted in the estimate and prepared for supplier confirmation and delivery planning.
SKU, dimensions, fabric or finish, variants, room fit, price range and packing data.
Send furniture catalogSurface type, thickness, wear class, coverage per pack, color, price per m2 and CBM.
Send flooring catalogSize, finish, slip rating, box coverage, weight, room use, price per m2 and breakage reserve.
Send tile catalogPower, color temperature, size, room zone, installation type, price and carton data.
Send lighting catalogInstallation size, material, finish, plumbing notes, accessories, price and packing.
Send bathroom catalogOpening size, panel dimensions, material, finish, hardware set, price and installation notes.
Send doors catalogSize, material, color, style tags, room fit, unit price, MOQ and packing information.
Send decor catalogModule size, finish, hardware, countertop data, compatible sets, price and lead time.
Send kitchen catalogPDF catalogs, product photos, model numbers, basic price lists and contact data.
Chineti.ai maps SKU, category, dimensions, style tags, room zones and price status.
The catalog is tested against rooms, budgets and BOQ quantities before publication.
Supplier-confirmed price, MOQ, packing volume, weight and lead time improve estimates.
Catalog requirements
The stronger the source data, the stronger the AI match. Missing data can start as estimated, but confirmed supplier fields make the quote sharper.
Brand, model number, product name, category, room use and available variants.
Dimensions, materials, colors, installation notes, packing size, CBM and weight.
MOQ, lead time, EXW/FOB price range, payment terms and valid price date.
Catalog upload standard
Send catalog files with readable images, stable SKUs, prices, dimensions and logistics data so Chineti.ai can match real products into rooms, BOQ estimates and delivery planning.
PDF, PPT, Excel or a product-page folder. Model numbers and product photos must be readable.
SKU, EXW or FOB price, currency, MOQ, price tiers, sample price and price validity date.
Category, room fit, dimensions, material, color, variants, style tags and installation notes.
Carton size, CBM, gross weight, net weight, carton count, lead time and loading notes.
Quality and pricing
One clean product category is enough to start, but the source files must be good enough for normalization and price checking.
Price and SKU fields
These fields turn a supplier catalog into a Chineti.ai-ready product source for AI matching, BOQ and future supplier dashboards.
Catalog package
Furniture, lighting, tile, bathroom fixtures or flooring can all start with one supplier package. The key is readable SKU data and real price fields we can normalize.