Layered matching
Code when it already is a CNPJ; otherwise exact legal name and its variants (no 'ME/EPP', 'EIRELI' → 'LTDA'); otherwise legal name plus state. Ambiguous names prefer the state on file and the headquarters.
Dashify matches your customer base against Brazil's public company registry (Receita Federal CNPJ data), classifies every customer, measures potential by state and city and delivers a list of prospects that look like the customers who already buy from you.
Follow Vale Doce Alimentos — a fictional food manufacturer in Goiás, Brazil — through the same process that runs on the platform.
We start from what you already have: customers and orders coming from your ERP or CRM.
C00412SUPERMERCADO ESTRELA DO VALEGoiânia/GOR$ 186 milC01187ATACADO CENTRO-OESTE DISTRIB.Anápolis/GOR$ 742 mil12345678000100MERCADINHO SOL NASCENTECampinas/SPR$ 38 milC00978PANIFICADORA TRIGO DOURADO - MERio Verde/GOR$ 21 milC02231RESTAURANTE SABOR DA SERRABrasília/DFR$ 17 milC00094JOSÉ CARLOS PEREIRAGoiânia/GOR$ 4 milC01560EMPÓRIO NATURAL VIDA EIRELIRibeirão Preto/SPR$ 29 milCompany, customers and figures are simulated for this demo.
Every number on screen has a source and a rule you can explain to your team.
Code when it already is a CNPJ; otherwise exact legal name and its variants (no 'ME/EPP', 'EIRELI' → 'LTDA'); otherwise legal name plus state. Ambiguous names prefer the state on file and the headquarters.
The core takes the top 5 revenue CNAE codes, those with at least 3 customers and 2 buyers, and those holding 3% or more of revenue.
By default, the median purchase of similar customers, adjusted for size and tax regime. It is an addressable ceiling, not a sales forecast.
Same CNAE (50), same state (15), same city (10), same tax regime (10), same size (10) and customer with purchases in 12 months (+5).
Switch the model and the map, states and prospects recalculate. Apply a conversion scenario to see what is reachable.
Every model returns low, central and high ranges — plus how the number was built.From Brazil's public CNPJ registry (Receita Federal) — establishments, companies and CNAE codes — combined with the sales history you already have in Dashify.
Yes. Matching uses the code when it is a CNPJ and, otherwise, the exact legal name, its variants and the legal name plus state. Unmatched customers show up in a review list.
No. It is the addressable ceiling computed by the chosen model — by default, the median purchase of similar customers adjusted by size. You can switch models and apply a conversion scenario.
By an operations taxonomy: macro-sector, segment and format, from the CNAE code and company name. Each classification carries a confidence level; uncertain ones go to review.
Yes. The list has search, filters, sorting and page export. With Prospecta 2B it becomes a prospecting routine with priorities, automated actions and mobile follow-up.
No. Matching uses the public company registry; individual customers stay among the unmatched.
Bring your base: we show where your customers already are, how much the market can hold and where to start.