# Vori Financial Model Vertical SaaS back-office operating system for local and regional independent supermarket chains - Canonical: https://finamodel.com/startups/vori - Excel download: https://finamodel.com/startup-models/vori.xlsx - Category: Enterprise/Security - Model type: SaaS ARR / Valuation - Funding round: Series A - Funding: $10M - Founded: 2022 - Geography: USA (30,000 independent grocer locations cited as target market) - Customer: B2B ## About the company Vori is a vertical SaaS back-office operating system for local and regional independent supermarket chains. Its product combines order management, inventory management, and analytics, helping grocers run core operations through one workflow rather than disconnected systems. The company sells to independent grocers with active stores as the natural unit of scale. Its deck describes hundreds of active stores, paid customers, and thousands on a waitlist, while identifying roughly 30,000 US independent-grocer locations as the target market. The model tracks new chains, active stores, subscription value, expansion, and churn. Onboarding and integrations are separate delivery assumptions, while sales capacity, gross margin, product costs, support, and overhead translate store adoption into ARR growth and cash runway. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## Product & value proposition - All-in-one grocery back office replacing pencil-and-paper and legacy point solutions - Three modules: Order management (LIVE as of Spring 2022), Inventory management (Q2 2022 launch), Analytics (Q2 2022 launch) - Mobile-first app; "Smart Orders" feature suggests ML-driven order suggestions based on historical ordering patterns - Supplier platform and auto-price updates are differentiating features vs. legacy competitors - Solves four stated pain points: labor costs on low-margin business, pricing errors (selling below cost), out-of-stocks / food waste from lack of supply chain data, and ineffective legacy software ## Market - Global Grocery Stores total spend: $11.7T - U.S. All Grocery Stores total spend: $765B - U.S. Independent Supermarkets total spend (TAM proxy): $250B - 30,000 independent grocer locations across USA - 33% of U.S. grocery market share - Independents grew market share 25%–33% in the last decade; described as "fastest growing sub-category of brick & mortar supermarkets" - No explicit SaaS software TAM or SAM (e.g., $X per store × 30,000 stores) stated in deck - Grocers described as "already paying billions for software a year" - no specific software spend figure given ## Revenue model - No per-store pricing, per-seat pricing, or ARPU figures disclosed - Supplier platform module (slide 12) hints at potential marketplace/take-rate revenue stream (supplier-side fees), but not stated - Direct sales implied (no channel partner or reseller mention) ## Traction & metrics - "Hundreds of active stores" - 57% Q/Q growth in active stores - Growth trend visible from Jan 2020 → Jan 2022 on combo bar/line chart; both active stores (line) and order count (bars) show consistent upward trajectory - "Dozens of paid customers" with deep integration - "Thousands of stores on the waiting list" - Named customer: Berkeley Bowl Marketplace (Director of IT testimonial) - No ARR, MRR, churn, NRR, or revenue figures disclosed ## Competition / moat - Competing against legacy systems (names blurred in slide 12 image) - 4 unnamed competitors shown - Vori is the only player with all 6 features checked: Grocery Inventory Mgmt, Order Management, Supplier Platform, Auto-Price Updates, Custom Analytics, Ease of Use - Key differentiation: Supplier Platform and Auto-Price Updates are unique to Vori among the 5 players shown - COVID tailwinds cited as urgency drivers: labor shortages, supply chain crisis, COGS inflation, Amazon/Whole Foods competitive pressure - Moat narrative: CEO's parents have 40 years of grocery experience - domain expertise embedded in product ## Team & funding ask / use of funds - Team: CEO has family background with 40 years of grocery experience; no other team members named or credentialed in deck ## Recommended financial model - **Archetype + why:** Vertical SaaS ARR model. Revenue is subscription-based per-store (implied). The natural unit is active stores × monthly subscription fee. A 3-statement model is not warranted at this stage given no disclosed financials - a SaaS KPI model (ARR bridge, cohort-based store adds, LTV/CAC once data exists) is the right archetype. - **Forecast horizon & granularity:** 3 years (2022–2024), monthly granularity for Year 1, quarterly thereafter. Deck is Spring 2022 so model starts from that base. - **Key drivers & assumptions:** - Active stores (starting point): ~"hundreds" → model as 200 - Q/Q store growth rate: 57% Q/Q; assume this decelerates as base grows - model 40% Q/Q in 2022, tapering to 20% Q/Q by end of 2023, ~10% Q/Q by 2024 - Gross margin: 70–75% typical for vertical SaaS at seed/early Series A; model at 70% - Inventory mgmt + analytics launch: Q2 2022; assume ARPU step-up of ~30% post-launch as upsell modules attach - Waitlist conversion: "Thousands on waitlist"; model 5–10% waitlist-to-paid conversion per quarter - Churn: 1–2% monthly (sticky back-office software; high switching cost once integrated with POS); model at 1.5%/month - **Scenarios (Base / Bull / Bear - which variables flex):** - Bull: Q/Q store adds stay at 40%+ through 2023; ARPU reaches $600 post module launch; churn at 1%/month - Base: Decelerating store growth as above; ARPU $400 rising to $520 on upsell; churn 1.5%/month - Bear: Store growth slows to 10% Q/Q by mid-2023 (sales capacity constrained); ARPU stays flat at $350; churn at 2.5%/month (inventory module launch delayed) - **Required sheets / outputs:** 1. Assumptions - all toggleable drivers 2. Store Cohort Model - monthly store adds by cohort, active store count, churn waterfall 3. ARR Bridge - new ARR, expansion ARR (module upsell), churned ARR, net new ARR, ending ARR 4. P&L - Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA 5. Unit Economics - LTV (ARPU × gross margin / monthly churn), CAC (once spend data available), LTV/CAC ratio, payback period 6. Dashboard - ARR, active stores, MRR, Q/Q growth, gross margin, burn/runway (if funding data known) ## Frequently asked questions ### Is the Vori financial model free? Yes. The Vori model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.