Industries
A wedding planner doesn't shop like a couple buying a dinner set.
Tableware catalogues are wide, layered and patterned — fine bone china, hotelware, glassware, cutlery, serveware, all crossing dozens of collections. A flat product grid asks a hospitality buyer and a homeowner the same question. Suggestly gives each one their own journey.
The reality
Pattern, place setting count, formality, durability tier — none of it lives in your filter sidebar.
A homeowner picking their first dinner set wants to see the table styled. A wedding planner wants to know what she can hire 200 covers of next month. A hotel group wants commercial-grade durability and a 5-year reorder pipeline. The same product page can't serve all three — so all three bounce.
What changes with Suggestly
Ask the right questions of the right buyer. Surface the right shortlist.
Suggestly builds a different journey for each audience. Hospitality buyers answer about cover counts, durability, and lead times. Event planners answer about season, palette, and rental scale. Homeowners pick a styled scene, a place setting size, and a budget. The AI assembles a coordinated shortlist for each.
What guided selling looks like for a tableware brand
Scenario 1
Hotel restaurant group repricing place settings
The procurement lead specifies covers per service, dishwasher cycles per week, and brand tier. Suggestly returns commercial-grade ranges with chip warranties and the lead times that match the refit calendar.
Scenario 2
Wedding planner sourcing 200 covers of glassware
She picks the season palette, the formality of the event, and the rental scale. Suggestly surfaces collections she can pull from stock, priced and bundled with matching cutlery and serveware.
Scenario 3
Couple choosing their first dinner set
They scroll a styled scene, lock in a colour story, and answer two questions about how often they entertain. The AI returns a coordinated 16-piece set with the right serveware add-ons.
What changes when your tableware catalog has a guide
Coordinated baskets across collections
Customers leave with the dinner plates, side plates, bowls, glassware and serveware that actually match. The AI keeps the coordination — they just choose the look.
Hospitality, retail and event journeys on one site
Branch by buyer type. Hospitality sees commercial specs. Event sees rental quantities. Retail sees lifestyle scenes. One catalog, three journeys, no compromise.
Warm B2B leads with full project context
Every commercial enquiry arrives with cover counts, brand tier, lead time, and the shortlist already built. Your trade desk skips intake and starts quoting.
Higher AOV on home and gift purchases
The AI suggests serveware and glassware that complete the table — items most homeowners don't think to add. Average basket size grows quietly.
How Suggestly delivers this for tableware
The three pillars, in the order that matters most for this industry.
Features that make it real
The capabilities that build, run, and close the journey.
Built for everyone in the deal
See Suggestly from the perspective of each side of the table.
Give every tableware buyer the journey they deserve.
See Suggestly configured for a tableware catalog in a live walkthrough.