══════════════════════════════════════════════════════════ BUSINESS PLAN ══════════════════════════════════════════════════════════ Company ............. Stackly Tagline ............. The inventory and buying platform built exclusively for independent fashion boutiques Industry ............ Vertical B2B SaaS — Retail Technology / Fashion Stage ............... Post-revenue, Series A Funding Goal ........ $3,800,000 to reach $2.1M ARR and 1,800 paying locations within 24 months ══════════════════════════════════════════════════════════ INVESTOR READINESS SCORE: 88 / 100 — Near ready — minor gaps before active pitching ══════════════════════════════════════════════════════════ FUNDING STAGE: Series A ready ══════════════════════════════════════════════════════════ EXECUTIVE SUMMARY ────────────────────────────────────────────────────────── Independent fashion boutiques across the UK and Ireland — a segment of 11,200 eligible businesses — are operating on general-purpose retail platforms that require costly customisation to handle apparel-specific SKU logic, causing an estimated $180M in annual operational waste through mispurchased stock, failed seasonal planning, and manual inventory reconciliation. Stackly is a vertically focused B2B SaaS platform purpose-built for fashion retail, delivering inventory management, supplier purchase order workflows, seasonal collection planning, and multi-location stock visibility in a single interface architected around size runs, colourway variants, and buying season logic from day one. The global retail management software market stands at $2.8B growing at 9.4% CAGR, and Stackly's serviceable addressable market across the UK, Ireland, and near-term Western European expansion represents $58.6M ARR; the company's five-year obtainable target of $8.2M ARR represents a credible 14% capture of the UK and Ireland segment alone. Eighteen months after commercial launch, Stackly has 590 paying locations across 480 boutique businesses, $562,000 in ARR growing at 38% year-over-year, net revenue retention of 112%, and monthly churn below 1.4% — metrics that substantially outperform SMB SaaS benchmarks at this stage. Stackly is raising $3,800,000 in a Series A round to fund two senior engineering hires, a mobile application, a wholesale marketplace API layer, UK field sales, and customer success expansion, with a defined milestone of $2.1M ARR and 1,800 paying locations within 24 months of close. ────────────────────────────────────────────────────────── THE PROBLEM ────────────────────────────────────────────────────────── Problem statement: Independent fashion boutiques are forced to run apparel-specific inventory and buying workflows on generic retail platforms that do not understand size runs, colourway variants, or seasonal buying cycles, resulting in chronic stock misalignment, over-purchasing, and manual workaround costs that erode the margins of an already capital-constrained business segment. Who experiences this problem: The primary sufferers are owner-operators of independent clothing boutiques with one to five physical locations across the United Kingdom and Ireland — an estimated 11,200 businesses. These operators typically carry 200 to 800 active SKUs across multiple colourways and size runs, place seasonal purchase orders with 15 to 40 wholesale suppliers per year, and manage stock replenishment decisions manually or through spreadsheets because the platforms available to them — built for general merchandise retailers — do not natively model the variant and season structures that define fashion buying. The pain is acute: a single misread buying decision on a seasonal collection can tie up 20 to 35% of an independent boutique's working capital in unsold stock. Current alternatives and their shortfall: The dominant alternatives fall into three inadequate categories. General retail platforms such as Lightspeed Retail and Vend offer broad inventory functionality but require expensive third-party integrations or manual configuration to approximate apparel SKU logic, and still fail to support seasonal buying workflows natively. Enterprise fashion platforms such as Zedonk and DEAR Systems are built for brands and wholesalers rather than retailers, carry pricing and complexity inappropriate for single and multi-location boutiques, and require implementation support these operators cannot afford. Spreadsheet-based management — the most common solution in this segment — provides flexibility but no real-time multi-location visibility, no purchase order automation, and no integration with wholesale supplier catalogues, creating a reconciliation burden that consumes 6 to 10 hours per week of operator time. Market cost of the problem: Across the 11,200 UK and Ireland boutiques in the target segment, conservative estimates suggest that poor inventory management and buying inefficiency generate approximately $180M in annual economic loss, comprising excess stock write-downs, lost sales from stockouts in popular sizes, and operator time cost in manual reconciliation. This figure is consistent with retail industry research indicating that inventory distortion — the combined effect of overstocks and stockouts — costs specialty retailers between 8 and 14% of annual revenue. ────────────────────────────────────────────────────────── THE SOLUTION ────────────────────────────────────────────────────────── Product or service: Stackly is a cloud-based B2B SaaS platform delivered via web browser on a per-location subscription model at $79 per month with no per-user fees. The platform provides four integrated functional modules: fashion-native inventory management that natively models size runs, colourway variants, and seasonal collections without configuration; supplier purchase order workflows that connect buying decisions directly to live stock positions; seasonal collection planning tools that allow boutique buyers to build range plans by category, colourway, and size curve against a budget; and multi-location stock visibility that gives owners and managers a unified view across all physical locations in real time. The architecture was designed ground-up for apparel retail data structures rather than retrofitted from a general merchandise foundation. Core value proposition: Stackly replaces the patchwork of general retail platforms, disconnected spreadsheets, and manual reconciliation that characterise independent boutique operations with a single purpose-built system that speaks the language of fashion buying. Customers achieve materially better stock accuracy, reduced over-purchasing, faster supplier order turnaround, and recovered operator time — outcomes that general platforms structurally cannot deliver because their data models were not built for apparel. The 112% net revenue retention figure at 18 months post-launch is the clearest evidence that customers who experience the platform expand within it rather than seeking alternatives. Key differentiators: First, fashion-native data architecture: Stackly's SKU model natively supports the size-run and colourway variant structure of apparel, eliminating the configuration burden that makes general platforms inappropriate for boutiques. Second, integrated seasonal buying workflow: unlike inventory-only tools, Stackly connects range planning and purchase ordering to live stock data, enabling closed-loop buying decisions that general platforms require manual bridging to approximate. Third, boutique-appropriate pricing and simplicity: at $79 per location per month with no per-user fees, no implementation cost, and no consultant requirement, the platform is accessible to owner-operated businesses that enterprise fashion tools price out entirely. Fourth, multi-location visibility designed for expansion: the per-location subscription model means customers naturally expand their subscription as they open new locations, producing the 112% NRR that validates the commercial architecture. Development stage: The platform is fully launched and commercially operating at scale. As of 18 months post-launch, 590 paying locations across 480 boutique businesses are live on the platform. The next development phase, to be funded by this raise, includes a native mobile application for on-floor stock management, an API integration layer connecting Stackly to major UK and European wholesale marketplaces, and additional engineering capacity to accelerate roadmap delivery. ────────────────────────────────────────────────────────── MARKET OPPORTUNITY ────────────────────────────────────────────────────────── TAM — Total Addressable Market ... $2.8B Methodology: top-down from published industry data. The global retail management software market is valued at $2.8B as of 2024 and is growing at 9.4% CAGR through 2028. This figure encompasses all retail verticals and geographies. Key assumption: vertical SaaS platforms are capturing a disproportionate share of net new subscription growth within this total as general platforms lose ground to purpose-built solutions. SAM — Serviceable Market ......... $58.6M ARR Filters applied: geography (UK, Ireland, and near-term Western European expansion markets comprising France, Germany, and the Netherlands), segment (independent clothing retailers with one to five locations), and pricing (at $79 per location per month). The UK primary segment of 11,200 eligible locations represents a $10.6M ARR opportunity at 10% penetration. The Republic of Ireland adds approximately $2M ARR at equivalent penetration. The Western European boutique segment across France, Germany, and the Netherlands is estimated at $48M SAM at equivalent penetration rates, bringing total SAM to approximately $58.6M ARR. Key assumption: Western European expansion is treated as a 36-month horizon and requires localisation investment beyond the current raise. SOM — Obtainable Market .......... $8.2M ARR Realistic five-year capture based on the current growth trajectory and funded go-to-market plan. The business is currently at $562,000 ARR with 590 locations and 38% year-over-year growth. With Series A funding deploying field sales, performance marketing, and trade show presence, a target of $8.2M ARR within five years represents approximately 77% of the UK primary segment at full penetration — a credible outcome for a market-leading vertical SaaS platform with demonstrated retention and expansion metrics. Basis: the 38% organic growth rate is expected to accelerate to 60 to 80% in years two and three following funded go-to-market investment, before normalising as the addressable segment matures. Market dynamics: The independent retail sector in the UK is undergoing a quiet technology reset as a wave of post-pandemic boutique openings — driven by displaced fashion professionals and direct-to-consumer brand operators opening physical flagships — creates a new generation of tech-receptive owner-operators who reject the complexity of legacy retail systems. The vertical SaaS model is gaining structural advantages in this segment as buyers increasingly compare platforms on category fit rather than feature breadth, benefiting purpose-built entrants like Stackly. Trade show infrastructure such as Pure London and Moda provides a concentrated, high-efficiency acquisition channel unique to the fashion retail segment that reduces customer acquisition cost relative to horizontal SaaS competitors. ────────────────────────────────────────────────────────── TRACTION AND VALIDATION ────────────────────────────────────────────────────────── Current traction: Stackly is 18 months post commercial launch with the following verified metrics. 590 paying locations across 480 boutique businesses in the UK and Ireland. $562,000 in annual recurring revenue. 38% year-over-year ARR growth on an organic basis without a funded sales motion. Net revenue retention of 112%, indicating that the customer base is expanding faster than it is churning — the single most important retention signal for a per-location SaaS model. Monthly churn rate below 1.4%, compared to a 3 to 5% SaaS SMB benchmark, demonstrating product stickiness well above category norms. Pre-seed funding of $320,000 raised from two angel investors in month four post-launch, providing the initial runway to build the commercial customer base now in place. Key proof points achieved: The 112% net revenue retention figure is the most compelling validation signal in the data set. It demonstrates that Stackly's per-location model is commercially self-reinforcing — customers open additional locations and bring those locations onto the platform, generating organic ARR expansion without additional acquisition cost. The sub-1.4% monthly churn rate is the second critical proof point, confirming that the product is genuinely embedded in daily boutique operations rather than used episodically. The combination of both metrics at 18 months post-launch, without a funded sales team, indicates a product-market fit signal that is strong for this stage. Proof points still needed: First, a funded go-to-market result — demonstrating that the 38% organic growth rate accelerates materially when a field sales function and performance marketing budget are deployed, ideally reaching 70 to 80% ARR growth in the 12 months following Series A close. Second, unit economics at scale — establishing gross margin above 70% and confirming that customer acquisition cost payback period falls below 12 months as the sales motion matures. Third, Western European replicability — at least 50 paying locations in a non-UK market within 30 months of Series A close, demonstrating that the platform's commercial model transfers across language and supplier ecosystem boundaries. ────────────────────────────────────────────────────────── BUSINESS MODEL ────────────────────────────────────────────────────────── Revenue model: Stackly operates on a pure SaaS subscription model billed monthly at $79 per location per month. There are no per-user fees, no setup fees, and no tiered feature gates at the base subscription level. Revenue is recurring, predictable, and directly linked to the customer's physical footprint — meaning revenue grows organically as customers open new locations. The per-location pricing model is a deliberate architectural decision that aligns the platform's value proposition with the customer's own growth incentive. Revenue streams: The primary and currently sole revenue stream is the per-location monthly subscription. Secondary revenue streams to be introduced in the 24 months following Series A close include a wholesale marketplace integration layer — a transactional fee applied to purchase orders placed directly through the platform's supplier API connections — and a premium tier for multi-location retailers above five locations, which will carry a higher per-location rate in exchange for advanced analytics, demand forecasting, and dedicated onboarding support. These secondary streams are not included in the base financial projections and represent upside to the model. Unit economics: At $79 per location per month, annual contract value per location is $948. The average customer operates 1.23 locations (590 locations across 480 customers), generating an average annual customer revenue of $1,166. At the estimated gross margin for a cloud SaaS platform of this type — approximately 72 to 76% once infrastructure and customer success costs are allocated — the gross profit per location per year is approximately $683 to $721. With a monthly churn rate of 1.4%, implied average customer lifetime is approximately 71 months, generating a lifetime value per location of approximately $4,560 to $4,800. Assuming a target customer acquisition cost of $800 to $1,200 per location under a funded sales motion — consistent with SMB SaaS benchmarks for field-assisted digital sales — the LTV to CAC ratio is estimated at 4x to 6x, which is within the acceptable range for a Series A SaaS investment. Customer acquisition: Primary acquisition channels currently operating organically include inbound referrals from existing customers and trade show presence. The funded go-to-market motion introduces a dedicated UK field sales hire focused on boutique clusters in London, Manchester, Edinburgh, and Dublin, combined with performance marketing targeting boutique owner search intent and trade publication advertising. The trade show channel — Pure London and Moda — provides a concentrated, high-conversion acquisition environment unique to the fashion retail sector that no horizontal platform can match at equivalent cost. Customer lifetime value: Based on the unit economics above, lifetime value per location is estimated at $4,560 to $4,800 at current churn rates, with meaningful upside as NRR expansion continues to compound. At the 480-customer level, average customer LTV is approximately $5,600 to $5,900, accounting for the 1.23 average locations per customer. This figure is expected to increase as the mobile application and supplier integration layer deepen platform embeddedness and reduce structural churn risk further. ────────────────────────────────────────────────────────── GO-TO-MARKET STRATEGY ────────────────────────────────────────────────────────── Beachhead segment: The most precise initial customer profile is an owner-operated independent women's fashion boutique in the UK with two to three physical locations, gross annual revenue between £300,000 and £900,000, currently managing stock on Lightspeed or a spreadsheet-based system, and attending at least one UK trade show per buying season. This profile represents the highest-conversion, lowest-friction entry point because multi-location operators feel the pain of stock reconciliation across locations most acutely and have the highest propensity to expand their subscription as the business grows. Launch strategy: The first 480 customers were acquired primarily through trade show presence, fashion industry community engagement, and direct outreach to boutique owner networks — a founder-led motion that validated the product and established the reference customer base. The funded launch strategy concentrates on three coordinated channels: a UK field sales hire who works boutique clusters in high-density independent retail zones; Pure London and Moda trade show booths with live product demonstrations designed to generate same-week trial conversions; and a structured referral programme rewarding existing customers with one free location-month for each referral that converts, capitalising on the tight community networks within the independent boutique sector. Growth channels: The three scalable growth channels beyond initial launch are, first, trade publication and community marketing in fashion industry media — specifically titles and communities read by boutique buyers and owner-operators, where Stackly's vertical specificity is a direct relevance advantage over generic retail software advertisers. Second, wholesale supplier partnership — by integrating with major UK and European wholesale marketplaces via the API layer funded by this raise, Stackly creates a referral channel through the suppliers themselves, who have direct commercial relationships with every boutique in the target market. Third, content and SEO targeting boutique owner search intent — producing buying guides, seasonal planning templates, and inventory management resources that attract organic search traffic from the precise customer profile Stackly serves. Pricing strategy: The $79 per location per month price point is positioned as value-based — it is materially below the cost of the general platforms that require third-party integrations to approximate Stackly's native functionality, and it is priced within the discretionary operational budget of a boutique generating as little as £200,000 in annual revenue. The no-per-user-fee structure is a deliberate competitive signal against Lightspeed and Vend, which charge per staff user and become increasingly expensive as boutiques grow their team. A premium tier at $129 to $149 per location per month for retailers above five locations will be introduced in year two, providing an upgrade path for the platform's most commercially valuable customers. Sales cycle: The sales cycle for independent boutique operators is short by B2B SaaS standards — typically five to fifteen days from first contact to active subscription for single-location customers and two to four weeks for multi-location operators who require a brief onboarding and data migration review. Decision-making is concentrated in the owner or founder, with no procurement layer, IT department, or multi-stakeholder approval process. This compressed cycle means the field sales function can turn a trade show conversation into a paying customer within two weeks, supporting high-velocity acquisition economics. ────────────────────────────────────────────────────────── COMPETITIVE LANDSCAPE ────────────────────────────────────────────────────────── Direct competitors: Lightspeed Retail is the most widely deployed alternative in the boutique segment. Its core weakness is that it is a general merchandise platform requiring paid third-party integrations — specifically apps for apparel SKU matrix management — that add $30 to $80 per month in cost and still fail to deliver native seasonal buying workflow. Stackly eliminates this integration overhead entirely. Vend by Lightspeed follows the same architecture and suffers the same structural limitation; its boutique customers routinely cite manual size run management as the platform's most persistent operational gap. Zedonk targets the fashion segment but is designed for brands and wholesalers rather than retailers, carries onboarding and licensing complexity that owner-operated boutiques cannot absorb, and is priced above the boutique segment's willingness to pay. Indirect competitors: The most significant indirect competitor is the spreadsheet — specifically Microsoft Excel or Google Sheets used in combination with Shopify or WooCommerce for online inventory. This combination is used by an estimated 40 to 55% of boutiques in the target segment and represents the primary displacement opportunity. The spreadsheet approach provides flexibility but generates the inventory reconciliation burden that is Stackly's most consistent acquisition trigger. Shopify's native POS and inventory module is a secondary indirect competitor for boutiques with a strong online channel, but Shopify's architecture is built around e-commerce rather than physical retail buying cycles, and it lacks seasonal collection planning or wholesale order workflow functionality. Sustainable competitive advantage: The single most defensible advantage is the combination of fashion-native architecture and the switching cost embedded in operational data. Once a boutique has loaded its supplier base, historical purchase orders, and seasonal collection structure into Stackly, migrating to an alternative platform requires reconstructing that institutional data from scratch — a process that represents days of operator time and carries meaningful risk of stock record errors during the transition. This data embeddedness, combined with a product that genuinely solves a problem that general platforms cannot solve without configuration, creates a structural retention advantage that is reflected in the sub-1.4% monthly churn rate. ────────────────────────────────────────────────────────── COMPETITIVE MOAT ANALYSIS ────────────────────────────────────────────────────────── Network Effects .... 1 / 3 — Weak direct network effects; indirect value emerges as supplier integration data enriches buying benchmarks across the customer base, but this is nascent and not yet a primary retention driver. Switching Costs .... 2 / 3 — Significant operational data lock-in through supplier records, historical purchase orders, and seasonal collection structures; migration to an alternative platform requires material reconstruction effort and carries inventory record risk. Cost Advantages .... 1 / 3 — Standard cloud SaaS infrastructure cost structure; no structural production cost advantage relative to horizontal platforms at scale, though boutique-specific CAC efficiency through trade channels provides a modest acquisition cost edge. Intangible Assets .. 2 / 3 — Fashion-native data architecture represents proprietary product design intellectual property; the 18 months of boutique operational data accumulated across 590 locations creates a growing dataset of apparel-specific buying patterns not accessible to horizontal platform competitors. Efficient Scale .... 1 / 3 — The UK and Ireland independent boutique segment is finite and will support a dominant vertical platform, but the market is not yet consolidated and horizontal platforms retain significant share; efficient scale dynamics will strengthen as Stackly reaches 20 to 30% segment penetration. Brand Strength ..... 2 / 3 — Recognised within the UK independent boutique community with 480 reference customers, trade show presence, and community referral credibility; not yet a dominant brand signal but well-positioned for recognition growth as funded marketing deploys. ────────────────────────────────────────────────────────── Total Moat Score ... 9 / 18 Primary Moat ....... Switching Costs Moat strategy: Stackly should prioritise deepening supplier integration depth over the next 12 months — connecting boutique purchase orders directly to wholesale marketplace platforms — because this embeds the platform into the supply chain relationship itself, making the switching cost not merely operational but relational, and simultaneously activating the supplier referral channel as a low-cost acquisition engine. ────────────────────────────────────────────────────────── TEAM ────────────────────────────────────────────────────────── Founding team: The CEO brings prior e-commerce operations experience that is directly relevant to the boutique customer's inventory and buying challenges, providing the operational credibility required to sell into an owner-operator audience that is sceptical of software built by people who have never managed a fashion floor. The CTO brings nine years of retail technology experience — a domain-specific engineering background that explains why the platform's architecture is genuinely fashion-native rather than a configured adaptation of a general retail data model. The Head of Customer Success brings six years of experience in fashion wholesale, placing her at the precise intersection of the supplier and retailer relationships that Stackly's integration roadmap must navigate. This founding configuration — operations, technology, and fashion supply chain — is well-matched to the product, market, and growth phase the business is entering. Key hires needed in next 12 months: First, two senior software engineers with SaaS platform experience to accelerate the mobile application and API integration layer, both budgeted within the $1.4M product and engineering allocation. Second, a UK field sales hire with experience selling SaaS into independent retail or fashion trade — the first dedicated outbound sales role in the business, budgeted within the $980,000 sales and marketing allocation. Third, four customer success and onboarding hires to support the location volume expansion from 590 to 1,800 paying locations without degrading the onboarding quality that drives the retention metrics the business has demonstrated. Advisory or board support: No specific advisors or board members are referenced in the available information. At the Series A stage, Stackly would be materially strengthened by adding two advisory relationships: a former founder or senior executive from a comparable vertical SaaS exit — ideally in retail or fashion technology — to provide investor credibility and commercial scaling guidance; and a fashion retail industry figure with trade association or major supplier relationships, who can accelerate the supplier partnership channel that is central to the wholesale API integration strategy. ────────────────────────────────────────────────────────── OPERATIONS ────────────────────────────────────────────────────────── Key operational requirements: Cloud infrastructure reliability is the primary technical requirement — the platform must maintain uptime and performance during peak trading periods, including seasonal buying windows when boutique operators are simultaneously processing purchase orders across multiple suppliers. The planned mobile application requires iOS and Android development capacity and an ongoing release management function. The wholesale marketplace API integration layer requires partnership agreements with marketplace operators including JOOR, NuOrder, and equivalent UK and European platforms, which involves commercial negotiation as well as technical development. Customer onboarding at the volume implied by the growth targets — from 480 to 1,800 businesses within 24 months — requires a structured onboarding playbook, data migration tooling, and sufficient customer success staffing to maintain the quality that underpins the retention metrics. Critical dependencies: The first and most significant dependency outside the team's direct control is wholesale marketplace cooperation — specifically, whether platforms such as JOOR and NuOrder will provide API access on commercially acceptable terms for a platform at Stackly's current scale. This dependency is on the critical path of the API integration strategy and should be de-risked through early partnership conversations before or immediately after Series A close. The second dependency is trade show access — Pure London and Moda are the highest-efficiency acquisition channels in the go-to-market plan, and any disruption to the UK trade show calendar (as occurred during 2020 and 2021) would require an alternative high-density acquisition mechanism to be developed rapidly. ────────────────────────────────────────────────────────── FINANCIAL OVERVIEW ────────────────────────────────────────────────────────── Current position: Stackly is currently generating $562,000 in ARR from 590 paying locations, growing at 38% year-over-year on an organic basis without a funded sales function. The business completed a pre-seed round of $320,000 in month four post-launch and is now seeking a $3.8M Series A to fund the go-to-market and product development acceleration described in this plan. Revenue projections — Base Case: Year 1 ........... $980,000 — approximately 1,040 paying locations at $948 annual contract value per location, representing 74% ARR growth driven by the first 12 months of funded sales motion deployment. Year 2 ........... $1,960,000 — approximately 2,070 locations, representing 100% growth as the field sales function reaches operating velocity, performance marketing matures, and the supplier referral channel begins contributing. Year 3 ........... $3,200,000 — approximately 3,375 locations, representing 63% growth as the UK primary segment matures and Western European expansion begins contributing initial location revenue. Key financial assumptions: Location acquisition accelerates from the current organic run rate of approximately 25 net new locations per month to 60 to 80 net new locations per month within 12 months of funded sales deployment, based on comparable SMB SaaS field sales benchmarks. Pricing holds at $79 per location per month throughout the projection period for the base tier; a premium tier at $129 to $149 per location is introduced in year two but is not included in these base projections. Monthly churn remains at or below 1.6% — a slight increase from the current 1.4% as the customer base expands beyond the early-adopter cohort, but still substantially below the 3 to 5% SMB SaaS benchmark. Monthly burn rate: approximately $158,000 per month, calculated as $3,800,000 divided by 24 months. Actual burn will be weighted toward the earlier months of the deployment period as hires are made; the $300,000 runway buffer allocation provides contingency against front-loaded spending. Runway: 18 to 24 months at projected burn rate. Path to profitability: Break-even is targeted at approximately 2,200 to 2,500 paying locations, representing approximately $2.5M to $2.8M in ARR. At a gross margin of 72 to 76% and operating expense structure consistent with a post-Series-A SaaS platform at this stage, the business reaches operating profitability between month 28 and month 34 from Series A close — within the funding runway if the location acquisition ramp performs to the base case. The operational trigger is the sales function reaching steady-state productivity, after which incremental revenue contribution per new location significantly exceeds incremental cost to serve. Key performance indicators: Net new paying locations added per month — the primary growth KPI that determines whether the funded sales motion is performing to plan and on which the ARR projections are directly constructed. Customer acquisition cost payback period in months — the primary unit economics efficiency KPI, targeting below 12 months as the sales function matures and referral and supplier channels reduce blended CAC. Net revenue retention — the primary retention and expansion KPI, with a target of maintaining 110% or above, which confirms that the per-location expansion dynamic is sustaining organic ARR growth within the existing customer base. ────────────────────────────────────────────────────────── MILESTONES — NEXT 12 MONTHS ────────────────────────────────────────────────────────── Field sales hire onboarded and generating qualified pipeline — first 30 net new locations from outbound channel — by month 3 post-close. Mobile application (iOS and Android) in closed beta with 50 customer locations — by month 5 post-close. First wholesale marketplace API integration (JOOR or NuOrder) live for customer use — by month 7 post-close. 1,000 total paying locations reached, confirming the funded acquisition ramp is on track — by month 9 post-close. ARR of $1.4M confirmed and NRR maintained at or above 110% — the Series A midpoint milestone validating the investment thesis — by month 12 post-close. ────────────────────────────────────────────────────────── FUNDING AND USE OF FUNDS ────────────────────────────────────────────────────────── Raise amount ........ $3,800,000 Round type .......... Series A Use of funds: Product and engineering: 37% — $1,400,000 covering two senior engineer hires, mobile application development, and wholesale marketplace API integration layer. Sales and marketing: 26% — $980,000 covering UK field sales hire, performance marketing budget, and trade show presence at Pure London and Moda across two buying seasons. Customer success and onboarding: 17% — $640,000 covering four customer success and onboarding hires to support the location volume expansion from 590 to 1,800 paying locations. Operations, legal, compliance, and working capital: 13% — $480,000 covering infrastructure scaling, legal and corporate compliance, and operating working capital. Runway buffer: 8% — $300,000 held as 12-month contingency against front-loaded hiring and any market timing variance. Expected runway ..... 18 to 24 months. Milestone unlocked .. The single most important outcome this funding achieves is demonstrating that Stackly's organic growth rate of 38% accelerates to 80 to 100% under a funded go-to-market motion, reaching $2.1M ARR and 1,800 paying locations within 24 months of close — the traction profile that positions the business for a Series B raise at a materially higher valuation and with Western European expansion as the primary growth thesis. ────────────────────────────────────────────────────────── RISK ANALYSIS ────────────────────────────────────────────────────────── Risk 1 (highest priority): Funded sales motion underperforms acquisition targets Probability: M | Impact: H Mitigation: The field sales hire should be made against a structured 90-day ramp plan with clear pipeline and conversion targets; if month-six trajectory is below 70% of plan, performance marketing budget is reallocated to accelerate the referral programme and trade show channel, both of which have demonstrated conversion with the existing customer base. Risk 2: Wholesale marketplace API partners decline or delay integration access Probability: M | Impact: M Mitigation: Partnership conversations with JOOR, NuOrder, and equivalent platforms should begin immediately post-close and before engineering resources are fully allocated; a direct supplier onboarding pathway — allowing boutiques to upload supplier catalogues manually — is maintained as a parallel track so that the integration value proposition is not dependent on a single external cooperation decision. Risk 3: Horizontal platform competitors launch fashion-specific vertical modules Probability: L | Impact: H Mitigation: Lightspeed and Shopify have the resources to build or acquire fashion-specific functionality, but their architectural legacy and SMB customer acquisition economics make vertical focus difficult to sustain at the boutique price point; Stackly's mitigation is to deepen switching costs through supplier integration and seasonal data history before a horizontal competitor can achieve feature parity — a 24 to 36 month window the current roadmap is designed to exploit. Risk 4: UK independent retail sector contraction due to macroeconomic pressure Probability: M | Impact: M Mitigation: The independent boutique segment has demonstrated resilience through previous consumer spending cycles because of its curation and community positioning relative to chain retail; Stackly's value proposition of reducing inventory waste and over-purchasing becomes more compelling, not less, in a margin-pressured environment; Western European expansion diversifies geographic exposure beyond the UK economic cycle. ────────────────────────────────────────────────────────── EXIT POTENTIAL ────────────────────────────────────────────────────────── Most likely exit type: Strategic acquisition by a retail technology platform or fashion industry infrastructure company seeking vertical SaaS distribution into the independent boutique segment. Target exit timeline: 5 to 7 years from founding. Potential acquirers: Lightspeed Commerce, which has a stated strategy of acquiring vertical SaaS businesses that extend its reach into underserved retail segments and has completed comparable acquisitions; Shopify, which is actively building its physical retail infrastructure and has acquisition appetite for businesses with demonstrated SMB retention at scale; or a private equity-backed roll-up of retail technology vertical SaaS platforms, a category that has seen significant consolidation activity across the UK and European market since 2021. Return potential: 8x to 12x on invested capital — based on comparable vertical SaaS exits in the retail technology category at the $5M to $15M ARR range, where acquisition multiples of 5x to 8x ARR have been consistently observed; at the $8.2M ARR five-year SOM target and an 8x ARR exit multiple, the implied enterprise value at exit is approximately $65M, representing a meaningful return against the Series A entry valuation at current ARR and growth rate. ────────────────────────────────────────────────────────── INVESTOR READINESS BREAKDOWN ────────────────────────────────────────────────────────── Problem Clarity ......... 10 / 12 — Problem is clearly articulated and grounded in specific market pain; docked two points because the $180M market cost figure is an estimate requiring third-party validation to reach full investor credibility. Market Size ............. 11 / 15 — SAM is clearly defined and credible at $58.6M; TAM of $2.8B is above the $1B threshold but the business's realistic obtainable share is a modest fraction of that figure, which sophisticated investors will weight accordingly. Differentiation ......... 12 / 15 — Fashion-native architecture is a genuine and defensible differentiator with demonstrated retention proof; docked three points because the moat is still developing and a well-resourced horizontal competitor could accelerate feature parity investment. Business Model .......... 12 / 12 — Per-location SaaS pricing is clear, commercially validated, and structurally aligned with customer growth incentives; unit economics are calculable and within acceptable ranges for the stage. Traction ................ 20 / 20 — $562,000 ARR at 38% growth, 112% NRR, and sub-1.4% monthly churn are collectively the strongest possible signal for a business at this stage; full marks are warranted. Team Strength ........... 8 / 12 — Founding team has directly relevant domain experience across operations, retail technology, and fashion wholesale; docked four points because the absence of named advisors or board members and the pre-Series-A stage means institutional investor credibility support has not yet been established. Financial Viability ..... 8 / 8 — Unit economics are positive and the path to profitability is clearly defined with a specific trigger; the LTV to CAC ratio at 4x to 6x is within acceptable institutional ranges. Scalability ............. 6 / 6 — The SaaS per-location model scales nationally and internationally without structural constraint; the Western European expansion thesis is credible and the supplier integration strategy provides a replicable geographic entry mechanism. ────────────────────────────────────────────────────────── TOTAL: 87 / 100 — Near ready — minor gaps before active pitching ────────────────────────────────────────────────────────── FUNDING READINESS ASSESSMENT ────────────────────────────────────────────────────────── Current positioning: Series A ready Stackly's 87/100 investor readiness score places it firmly in the near-ready band, with a traction profile — 112% NRR, sub-1.4% churn, 38% organic ARR growth — that is genuinely exceptional for a business at the pre-Series-A stage and will generate strong investor interest from institutional funds focused on vertical SaaS and retail technology. The two weakest dimensions are team strength at 8/12 and market size at 11/15: the team score reflects the absence of formal advisory or board infrastructure that institutional investors typically expect to see at the Series A stage, and the market size score reflects that while the TAM is large, the immediately addressable UK and Ireland SAM of approximately $12.6M is modest relative to the $3.8M raise being sought, requiring investors to accept the Western European expansion thesis to justify the funding quantum. The three things to accomplish before approaching Series A investors are: first, secure two named advisors — ideally a vertical SaaS founder with a completed exit and a fashion industry figure with trade association relationships — to strengthen institutional credibility and close the team score gap; second, produce a validated third-party estimate of the independent boutique software spend figure to substantiate the $180M market cost claim and close the problem clarity gap; and third, initiate and document early partnership conversations with at least one wholesale marketplace platform to de-risk the API integration strategy before it reaches due diligence. Investors at the Series A tier will expect to see the funded sales motion producing a clear acceleration from the current 38% organic growth rate — specifically, evidence of 60 to 80% ARR growth within 12 months of deployment — alongside NRR maintained above 110% and a documented CAC payback period below 12 months. ────────────────────────────────────────────────────────── NEXT STEPS ────────────────────────────────────────────────────────── Recruit two named advisors — a vertical SaaS founder with a completed exit and a fashion industry figure with trade association or major wholesale supplier relationships — to close the team strength gap (currently 8/12) before beginning formal investor conversations. Initiate partnership conversations with JOOR and NuOrder immediately, targeting a signed letter of intent or API access agreement within 60 days, to de-risk the most critical external dependency in the product roadmap and demonstrate market infrastructure cooperation to Series A investors. Commission or produce a substantiated market cost estimate for independent boutique inventory mismanagement — supported by retail association data or a boutique operator survey — to validate the $180M market cost figure and close the problem clarity score to 12/12. Begin active outreach to three to five UK and European retail technology or fashion infrastructure-focused venture funds in the 60 days before formal fundraising launch, using the trade show presence at the next Pure London event as a high-credibility investor demonstration context. ══════════════════════════════════════════════════════════ Business Plan Writer | Investor Readiness Score 0-100 TAM SAM SOM | Competitive Moat | Exit Potential Funding Readiness | Bottom-Up Revenue Build ══════════════════════════════════════════════════════════