Manual competitive research couldn't cover the universe the business operates in.
A global industrial manufacturer in the aerial work platforms market needed to track 200 competitors across launches, pricing, and positioning. The work was manual — analysts scanning websites, reading publications, emailing summaries to stakeholders. It consumed 100 hours per month, ran weeks behind, and could realistically cover only 50–100 of the 200 competitors that mattered. Coverage was sampled, not systematic. Humans couldn't execute it at the scale the business operates.
An end-to-end intelligence system built inside the company's existing stack.
CustomAI Studio built an end-to-end intelligence system inside the company's existing stack — no new tools for the people consuming it. Competitor sites, news feeds, and industry publications feed an event capture layer that classifies and routes content into a multi-method extraction harness processing 10,000+ sources per cycle across all 200 competitors. Structured data lands in SQL for reporting and a vector store for retrieval, with telemetry tracking source reliability and freshness.
Two workflow modules sit on top: a synthesis module that generates intelligence newsletters and pushes them to stakeholders, and a query module — exposed as an internal chatbot — that lets leadership ask natural-language questions of the full competitive history on demand.
Coverage moved from sampled to comprehensive — every competitor, every cycle, with real-time intelligence.
The universe expanded from 50–100 names the team could scan to all 200, with depth per competitor growing from a handful of sources to roughly 50. Intelligence latency collapsed from weeks-behind to same-day. Stakeholders stopped chasing analysts and started querying the system directly.
The 100 hours per month spent on surface-level scanning was redirected to deeper strategic work — roughly $105,000 per year in analyst capacity unlocked. For the first time, the business had real-time competitive coverage that scaled with the market — without scaling the team.