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Dafiti Tech Stack

Latin America's largest fashion e-commerce platform with 4M+ customers

Retail Apparel and Fashion São Paulo, São Paulo 1,001–5,000 employees Founded 2011 Privately Held

Dafiti operates the largest online fashion distribution center in Latin America, serving 4M+ active customers across Brazil, Chile, and Colombia with 3,000+ brands and 400K+ products. The tech stack blends cloud infrastructure (AWS, Redshift), enterprise systems (SAP), and modern analytics (Power BI, Gemini) — a combination indicating simultaneous operational scale and early-stage data maturity. Current hiring is junior-heavy and scattered across ops, finance, and procurement, with active projects focused on automating sales forecasting, optimizing procurement, and building customer analytics foundations — suggesting growth pains around operational efficiency and channel attribution rather than core platform innovation.

Tech Stack 25 technologies

Core StackSAP Adobe Premiere Pro Power BI Figma Redshift After Effects Java AWS Docker Python Meta Ads Adobe Illustrator Adobe Photoshop Jira Go Google Ads Gemini NotebookLM Google Slides CapCut Adobe After Effects Criteo

What Dafiti Is Building

Challenges

  • Streamlining onboarding process
  • Manual repetitive processes
  • Attracting new sellers
  • Expanding product categories
  • Capturing savings opportunities
  • Optimizing procurement processes
  • Optimizing marketing investment allocation
  • Analyzing customer cohort behavior
  • Improving sales projection accuracy
  • Agency management

Active Projects

  • Partner onboarding process
  • Category expansion initiatives
  • Automating sales projection models
  • Optimizing marketing channel allocation
  • Customer cohort analysis
  • Revenue operations agenda development
  • Commercial funnel management model evolution
  • Dashboard and analytics model construction

Hiring Activity

Accelerating8 roles · 8 in 30d

Department

Ops
2
Finance
1
HR
1
Marketing
1
Operations
1
Procurement
1
Sales
1

Seniority

Junior
4
Manager
2
Intern
1
Mid
1
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About Dafiti

Dafiti is a fashion e-commerce platform and logistics operator operating across Brazil, Chile, and Colombia. Founded in 2011, the company has scaled to over 1,000 employees and operates its own distribution network, including the world's largest AutoStore automated warehouse solution in Brazil. The business model combines a marketplace (3,000+ brands, 400K+ SKUs) with proprietary logistics, creating a vertically integrated fulfillment operation. Revenue streams include vendor-driven product margin, advertising (Meta, Google, Criteo), and logistics services. The customer base stands at 4M+ active users concentrated in the Brazilian market.

HeadquartersSão Paulo, São Paulo
Company Size1,001–5,000 employees
Founded2011

Frequently Asked Questions

What is Dafiti's main business?

Dafiti is a fashion e-commerce marketplace operating in Brazil, Chile, and Colombia, with 4M+ active customers and 3,000+ brands. It also operates proprietary logistics infrastructure, including Latin America's largest online fashion distribution center.

What tech stack does Dafiti use?

Dafiti's stack includes AWS for cloud infrastructure, Redshift for data warehousing, SAP for enterprise operations, Power BI for analytics, Figma for design, Docker for containerization, and Java and Python for backend systems. It uses Criteo, Meta Ads, and Google Ads for advertising.

Is Dafiti hiring in 2024?

Yes. Dafiti has 8 active roles with hiring velocity accelerating, concentrated in operations, finance, procurement, and marketing. Most roles are junior-level (4) or manager-level (2), with one intern and one mid-level position.

How this profile is built

Dafiti's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.