# Configit vs Threekit for B2B product configuration: one is built around rules logic, the other around 3D visuals, which matters more to buyers?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I went digging through recent reviews to answer which visual configuration platforms are rated highest for ecommerce and manufacturing customization by enterprise teams that have actually deployed them at scale, and some context comes first: G2's own stats put this <a class="a a--md" elv="true" href="https://www.g2.com/categories/visual-configuration">visual configuration software</a> category at 60% small-business reviewers, so enterprise-scale review evidence is scarce everywhere and the ratings mostly reflect smaller deployments. With that filter applied, here's what held up:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/threekit-threekit/reviews"><strong>Threekit</strong></a>: A good enterprise option with the most enterprise-flavored recent reviews in the category. It positions for enterprise manufacturers selling through dealer and distributor channels (vendor-stated), and its two most recent reviews read like scale operations: coordinating multiple asset workstreams into simultaneous library publishes, and relying on the vendor for cross-brand best practices. The same reviews carry cons that come with scale, the all-at-once publishing bottleneck and a wish for the vendor to lead harder on AI, both worth asking references about directly.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/epicor-cpq/reviews"><strong>Epicor CPQ</strong></a>: The largest enterprise share of the group at 40% enterprise and 60% mid-market reviewers, inside a vendor that lives in manufacturing ERP. The rating is solid but recent review activity is absent, so the at-scale proof has to come from reference customers rather than fresh review text.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dopple/reviews"><strong>Dopple</strong></a>: Recent sentiment describes it as enterprise-grade against real expectations of user journey and conversion, with the explicit caveat that it isn't a one-click plugin and demands proper input data. That's what scale deployment honestly costs in this category, said out loud in a review.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/3d-cloud/reviews"><strong>3D Cloud</strong></a>: Known mainly through its named customers, with major retail chains cited running configurators and room planners across channels (vendor-stated). Its G2 review base is small and quiet, so the enterprise logos are the claim to verify in reference calls, not evidence the reviews provide.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Put plainly, the highest ratings in this category belong mostly to small-business tools, and the enterprise-capable platforms have thinner, more mixed review bases. At enterprise scale, buy on reference architecture and named customers doing your exact motion, and treat the star ratings as background context. Enterprise folks who've deployed any of these across a real catalog, how long did content production for the 3D assets actually take compared to the platform implementation itself?</p>

##### Post Metadata
- Posted at: 24 days ago
- Net upvotes: 1


## Comments
### Comment 1

The framing is solid, but it stops short of quantifying impact. Buyers care about where deals fail, so tying each approach to conversion drop-off points would strengthen this.

##### Comment Metadata
- Posted at: 20 days ago
- Author title: Writer





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