SeatPlanning VS ViewForge

SeatPlanning's answer

React, NextJS, Tailwind + shadcn/ui, with React Flow powering the visual seating layouts.

ViewForge's answer:

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

SeatPlanning's answer

SeatPlanning combines visual seating charts, guest list management, and RSVP collection in one place. Unlike spreadsheets or clunky tools, it’s built to be intuitive and export-ready — designed so couples, event hosts, planners or really anyone looking to build a seating chart can reduce chaos and enjoy clarity. Features like drag-and-drop seating with table shapes, do-not-seat-together tags, accessibility notes, and styled PDF exports make it both powerful and easy to use.

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

SeatPlanning's answer

Most competitors either focus on RSVP collection or on static seating layouts. SeatPlanning bridges that gap:

✅ Guests RSVP directly into the platform (no double entry). ✅ Hosts can tag dietary restrictions, accessibility needs, and family dynamics. ✅ Everything exports to a print-ready format. In short: it saves time, prevents errors, and makes the process far less stressful than juggling spreadsheets + design tools + messaging apps.

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

SeatPlanning's answer

SeatPlanning’s first audience is event planners, couples planning weddings, teaches and really anyone that has to deal with a seating chart or RSVPs to an event.

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

SeatPlanning's answer

SeatPlanning was born from the realization that seating charts are one of the most stressful parts of wedding planning. After seeing couples struggle with spreadsheets, last-minute changes, and messy tools, the idea was to build a purpose-built SaaS that turns what feels like chaos into a calm, guided process. It’s made by people who’ve been through event chaos themselves and wanted to create the tool they wished existed at the time.

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.