PMs, analysts, and admins across a multi-company portfolio needed consolidated financial answers without writing SQL or wrangling Excel.
A system only a few people can query
9 companies have fixed this with AI, most of them in Consumer Goods & CPG, Financial Services and Agriculture & Food. Every one that disclosed a timeline was live inside two months; the longest took under 4 weeks. Built mostly as data synthesis & reporting, conversational AI and natural language processing, on Snowflake, OpenAI / ChatGPT / GPT and Postgres / pgvector. 6 builders in the Pluris network have done it.
Solutions
9 on fileOperational and financial data was fragmented across ERP modules and spreadsheets, leaving management with no consolidated view of farming and production.
Beghou Arc instances are programmatically generated from 100+ interrelated metadata tables spanning 1,500+ columns.
sweetgreen's data was scattered across multiple verticals, teams, and stakeholders, spanning company goals, in-store and online sales, Outpost, and customer insights.
The museum needed to make data-driven decisions across hundreds of disparate data sources.
The PE sponsor required an 8 to 10 percent cut in SG&A within 180 days while holding revenue.
Getting answers from multi-year survey datasets meant manually querying CSVs, slow, technical work that put the data out of reach for non-analysts.
Business users across finance, marketing, and operations at a Fortune 500 consumer goods company could not get answers from their own data without filing tickets and.
Brand teams at a multinational consumer health company, whose household-name hygiene, health, and nutrition products sell in more than 60 countries, could not get.