Zilingo \Singapore

Zilingo began as a fashion marketplace connecting Southeast Asian merchants with global buyers, then pivoted to become a B2B SaaS platform offering supply chain financing, inventory management, and manufacturing workflow tools for apparel businesses. The core promise was elegant: digitize the fragmented, relationship-driven garment supply chain across Bangladesh, India, Indonesia, and Vietnam—regions producing billions in apparel exports but operating on WhatsApp, Excel, and handshake deals. For factory owners, Zilingo offered working capital loans against purchase orders, demand forecasting, and quality control dashboards. For brands, it promised transparent sourcing and faster time-to-market. The psychological hook was powerful during the 2017-2020 era: investors saw Amazon's playbook (marketplace → infrastructure provider) being applied to a $3 trillion global apparel industry ripe for digitization. Zilingo wasn't selling software; it was selling the vision of becoming the 'operating system' for fashion manufacturing in emerging markets, capturing transaction fees, interest spreads, and SaaS subscriptions across a historically opaque value chain.

SECTOR Consumer
PRODUCT TYPE SaaS (B2B)
TOTAL CASH BURNED $340.0M
FOUNDING YEAR 2015
END YEAR 2022

Discover the reason behind the shutdown and the market before & today

Failure Analysis

Failure Analysis

Zilingo collapsed due to a toxic combination of accounting irregularities, unsustainable unit economics, and governance failure. In March 2022, investors suspended CEO Ankiti Bose...

Expand
Market Analysis

Market Analysis

The B2B apparel supply chain software market has matured significantly since Zilingo's collapse, with clear winners emerging in narrow verticals. Pure-play supply chain finance...

Expand
Startup Learnings

Startup Learnings

Marketplace revenue accounting is existential, not cosmetic. Zilingo's alleged practice of reporting GMV as revenue (instead of take rate) is a red flag visible...

Expand
Market Potential

Market Potential

The addressable market remains enormous and underserved. Global apparel manufacturing is a $1.5 trillion industry, with Southeast and South Asia accounting for 60% of...

Expand
Difficulty

Difficulty

Building supply chain fintech in emerging markets requires navigating complex regulatory frameworks across multiple jurisdictions (MAS in Singapore, RBI in India, OJK in Indonesia),...

Expand
Scalability

Scalability

Zilingo's model had fatal scalability constraints disguised as growth. Supply chain financing requires capital reserves that scale linearly with loan volume—every dollar lent ties...

Expand

Rebuild & monetization strategy: Resurrect the company

Pivot Concept

+

A vertical SaaS platform exclusively for mid-sized apparel manufacturers (50-500 employees) in Vietnam and Bangladesh, offering a single killer feature: automated compliance documentation for EU and US import regulations. Instead of trying to be everything (financing, marketplace, ERP), FactoryOS solves one painful, non-negotiable problem: generating the audit trails, certifications, and traceability reports that Western brands now legally require under supply chain due diligence laws. The product is a mobile-first app where factory floor managers photograph production stages, scan material receipts, and log worker timesheets—data automatically compiled into compliance reports matching WRAP, BSCI, and Higg Index formats. Revenue comes from $400/month SaaS subscriptions (paid by factories who pass costs to brands) plus $150 per audit report generated. The wedge is regulatory fear: EU's CSDDD law (2024) and US's Uyghur Forced Labor Prevention Act make non-compliance a brand liability, so factories that can't produce documentation lose contracts. Unlike Zilingo's horizontal sprawl, this is a painkiller, not a vitamin—and it requires zero balance sheet risk.

Suggested Technologies

+
React NativePostgreSQLAWS S3StripeTwilioOpenAI GPT-4

Execution Plan

+

Phase 1

+

Build a mobile app (React Native) with three core workflows: photo-based production logging, material traceability scanning (QR codes on fabric rolls), and worker timesheet entry. Backend stores data in PostgreSQL with immutable audit logs. MVP takes 8 weeks with a 2-person team (1 full-stack dev, 1 mobile specialist).

Phase 2

+

Partner with 3-5 factories in Vietnam (Hanoi/Ho Chi Minh City industrial zones) for pilot deployment. Offer free usage in exchange for feedback. Key metric: can the app generate a WRAP audit report in under 10 minutes that previously took 40 hours of manual Excel work? Validate this in 60 days.

Phase 3

+

Integrate OpenAI GPT-4 API to auto-generate compliance narratives from structured data (e.g., 'Factory X processed 5,000 yards of GOTS-certified organic cotton on [date], photographed at receiving dock, stored in climate-controlled warehouse per brand specifications'). This transforms raw logs into audit-ready PDFs matching specific certification body formats.

Phase 4

+

Launch paid tier at $400/month after proving ROI with pilot factories. GTM is direct outreach to factory owners via LinkedIn (search 'Garment Factory Manager Vietnam') and attendance at regional trade shows (Texworld, Bangladesh Denim Expo). Close first 20 customers in 6 months through in-person demos showing side-by-side time savings.

Monetization Strategy

+
Three revenue streams: (1) SaaS subscription at $400/month per factory (target 200 factories in Year 1 = $960K ARR). (2) Per-report fees: $150 for each audit report generated (factories average 4 audits/year = $600/factory/year). (3) API access for brands: charge brands like Zara $2,000/month to directly query their suppliers' FactoryOS data via API, creating a two-sided network effect where factories adopt to win contracts and brands pay for visibility. Gross margins are 85%+ (pure software, no lending risk). The model is capital-efficient because customers pay upfront annually (negotiated as 'compliance insurance'), providing 12 months of runway per cohort. Exit strategy: acquisition by existing supply chain platforms (Flexport, Sourceful) or compliance software giants (Assent, Sphera) seeking to add manufacturing-floor data capture to their enterprise suites.

Disclaimer: This entry is an AI-assisted summary and analysis derived from publicly available sources only (news, founder statements, funding data, etc.). It represents patterns, opinions, and interpretations for educational purposes—not verified facts, accusations, or professional advice. AI can contain errors or ‘hallucinations’; all content is human-reviewed but provided ‘as is’ with no warranties of accuracy, completeness, or reliability. We disclaim all liability for reliance on or use of this information. If you are a representative of this company and believe any information is inaccurate or wish to request a correction, please click the Disclaimer button to submit a request.