8 companies have fixed this with AI, most of them in Manufacturing & Industrial, Consumer Goods & CPG and Transportation & Logistics. 4 of the 6 that disclosed a timeline were live inside two months; the longest took 2–4 months. One disclosed cost: $100K – $250K. Built mostly as decision support & scoring, process automation and AI-accelerated custom software, on Claude (Anthropic), Google Gemini and OpenAI / ChatGPT / GPT. 6 builders in the Pluris network have done it.
A consumer products company with about 9,000 products in three segments and about $250 million of revenue quoted on standard cost.
Pricing and inventory decisions relied on experience rather than data.
The biggest operational and growth bottleneck was their speed and accuracy in quoting transports.
A slow, manual pricing process was creating operational bottlenecks for a motorsport business, quotes took too long and consistency was hard to guarantee.
A contract injection molder was quoting jobs by email.
A mid-sized industrial manufacturer was losing hours of skilled engineering time per customer order.
A California-based custom manufacturer with 40,000 SKUs and a 70-year operating history came to Remix Partners after hitting the ceiling of what their internal team.
A 70-year-old California custom manufacturer with 40,000 SKUs had a painfully manual quoting process.
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