Chippie VS ViewForge

Chippie's answer

Chippie was built from real trade experience rather than generic business software ideas. It brings quoting, scheduling, job management, invoicing and payments into one practical workflow, while keeping the product simple enough for busy trade businesses to use every day. AI is included where it genuinely saves time, but never replaces the core workflow.

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.

Chippie's answer

Chippie focuses on the everyday needs of growing trade businesses instead of overwhelming users with unnecessary complexity. It is designed to help teams move smoothly from quote to payment with practical features, mobile access and straightforward pricing, making it easy to adopt without changing how they already work.

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.

Chippie's answer

Chippie is designed for trade and field service businesses, including electricians, plumbers, builders, carpenters, landscapers, cleaners, arborists and other contractors who need an efficient way to manage jobs, customers, scheduling and invoicing.

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.

Chippie's answer

Chippie was created by a family team with backgrounds in both software engineering and the trades. After experiencing the challenges of managing jobs, paperwork and customers firsthand, they set out to build software that reflects how trade businesses actually work instead of forcing them into complicated systems.

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.

Chippie's answer

Chippie is built using a modern web technology stack based on Python, Flask, PostgreSQL, SQLAlchemy, JavaScript, HTML5, and CSS3. The platform delivers reliable web and mobile access for trade businesses while supporting AI-powered productivity features and seamless job management workflows.

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

Chippie's answer

Chippie is designed for trade and field service businesses, including electricians, plumbers, carpenters, builders, landscapers, cleaners, and other contractors. The platform helps small and growing businesses manage jobs, customers, quotes, scheduling, and invoicing.