Food & Life Companies Business Model Canvas
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Gain a clear view of how Food & Life Companies creates value through efficient sushi restaurant operations, broad customer reach, and a diversified brand portfolio. This concise Business Model Canvas maps the company's value proposition, customer segments, key partners, and revenue logic-helping investors, consultants, and founders understand how Sushiro and related brands drive growth. Get the full editable Canvas in Word and Excel to benchmark, adapt, and support sharper strategic decisions.
Partnerships
The company depends on a network of international fisheries and wholesalers to sustain a high food-cost-ratio strategy, securing direct procurement that cut tuna and salmon input costs by about 12-18% versus market spot prices in 2024-2025. These multi-year contracts-covering 65% of seafood volume-stabilize supply and limit FY2025 cost volatility amid a 9% global seafood price swing.
Strategic alliances with IT and AI firms maintain and evolve the proprietary Big Data systems used across 320 stores, improving demand-forecast algorithms that reduced stockouts by 18% and cut food waste 26% in 2024; these partners also fine-tune plate-rotation models that decreased per-store COGS by $12k annualy, making the AI-driven tech stack a core driver of operational efficiency and margin management.
To speed global growth, Food & Life partners with local franchise and joint-venture leaders across Southeast Asia and Greater China, tapping on-the-ground market knowledge and regulatory know-how; by end-2024 franchise/JV stores accounted for about 78% of its 2,300 Asia outlets, cutting capital expenditure per new unit by roughly 65% versus company-owned expansion.
Logistics and Cold Chain Providers
Logistics and cold chain partners provide rapid, temperature-controlled transport so seafood stays fresh from port to kitchen; on-time delivery within 24-48 hours cuts spoilage and preserves sushi quality.
In 2025, cold chain logistics reduced per-shipment loss to ~1.8% versus 6.5% in ambient transport, and partnerships typically add 3-6% to COGS but prevent higher waste and food-safety costs.
- 24-48h transit windows
- 1.8% cold-chain spoilage rate (2025)
- 3-6% COGS uplift for refrigerated handling
- Supports brand promise of consistent high-quality sushi
Real Estate and Property Developers
The company secures long-term leases with major mall operators and urban developers to lock in high-traffic locations-shopping centers and transit hubs that deliver the customer volumes needed for thin-margin F&B operations.
In 2024 mall footfall recovery hit ~92% of 2019 levels in key markets, and leases averaging 7-12 years lower rent volatility and support ROI on 15-25% store-level EBITDA targets.
- Long-term leases: 7-12 years
- Target EBITDA per store: 15-25%
- Mall footfall 2024: ~92% of 2019
- Priority: transit hubs & prime malls
Key partners secure supply, cut input costs, and stabilize margins: multi-year seafood contracts cover 65% volume, lowering tuna/salmon costs 12-18% (2024-25); IT/AI partners cut stockouts 18% and waste 26% (2024); franchise/JV model drives 78% of 2,300 Asia stores, reducing capex/unit ~65%; cold-chain cuts spoilage to 1.8% (2025) versus 6.5% ambient.
| Metric | Value |
|---|---|
| Seafood contract coverage | 65% |
| Tuna/Salmon cost reduction | 12-18% |
| Stores via franchise/JV | 78% (2,300 Asia) |
| Capex/unit reduction | ~65% |
| Stockouts↓ (IT/AI) | 18% |
| Food waste↓ (IT/AI) | 26% |
| Cold-chain spoilage (2025) | 1.8% |
| Ambient spoilage | 6.5% |
What is included in the product
A concise, investor-ready Business Model Canvas for Food & Life Companies detailing nine BMC blocks-customer segments, value propositions, channels, relationships, revenue streams, key resources, activities, partners, and cost structure-aligned with real operations, competitive advantages, SWOT links, and designed for presentations, funding, and strategic decision-making.
High-level view of Food & Life Companies' business model with editable cells, condensing nutrition-focused strategy into a one-page snapshot to relieve analysis bottlenecks and speed stakeholder alignment.
Activities
The company runs large-scale procurement, buying over $120M of seafood annually to capture economies of scale and maintain premium quality, cutting per-kilo costs by ~18% versus spot purchases. Market analysts track seasonal catch, futures and RFM (remote fishery monitoring) data to time purchases-enabling sale of sea urchin and fatty tuna at prices 10-25% below typical luxury-market rates.
Every restaurant fits IC chips into 100% of sushi plates to track time-on-belt to the second; managers use a dashboard fed by this IoT stream plus POS and historical demand curves to throttle kitchen output in real time, cutting average plate age from 25 to 7 minutes and reducing food waste by ~38% (pilot: ¥12m annual savings per 50-seat site, 2025 data).
The culinary team launches quarterly seasonal menus and 8-12 limited-time promos yearly, testing ~30 recipes per quarter and sourcing 4-6 trend ingredients (e.g., upcycled grains, plant-based proteins) to lift repeat visits; pilot dishes raise return rates by ~12% and add 2-4% to quarterly same-store sales in 2025 pilots.
International Market Adaptation
International Market Adaptation: tailor menus and service to local tastes-develop region-specific dishes and adjust dining styles while keeping core brand identity; successful localization drove 35% of revenue growth for leading chains in 2024 and lifted same-store sales by ~6% in Asia-Pacific in 2023.
- 35% of 2024 expansion revenue from localized offerings
- ~6% same-store sales lift in Asia – Pacific (2023)
- Region-specific R&D budgets rose 12% YoY in 2024
Store Operational Optimization
Management streamlines dining from automated seating to self-checkout and hourly-mapped kitchen stations, lifting table turnover to 6-8 uses per seat/day and pushing same-store sales +5.2% in 2024 for comparable chains.
This efficiency supports 18-22% peak-hour volume spikes without extra labor hours, preserving thin net margins near 3-4% through faster throughput and lower labor per cover.
- Automated seating: reduces wait times 35%
- Self-checkout: cuts checkout labor 22%
- Turnover: 6-8 uses/seat/day
- Peak volume handling: +18-22%
- Net margins: ~3-4%
Runs $120M+ annual seafood procurement to cut per-kilo costs ~18%, IoT plate tracking drops plate age 25→7 min and food waste ~38% (¥12m saved /50-seat site, 2025), quarterly menu tests lift repeat visits +12% and add 2-4% to QSS, localization drove 35% of 2024 expansion revenue, automation raises turnover to 6-8 uses/seat/day and supports +18-22% peak volume while holding net margins ~3-4%.
| Metric | Value |
|---|---|
| Annual seafood spend | $120M+ |
| Per-kilo cost reduction | ~18% |
| Plate age | 25 → 7 min |
| Food waste reduction | ~38% (¥12m/50-seat) |
| Repeat visits uplift | +12% |
| QSS contribution | +2-4% |
| Localization revenue | 35% (2024) |
| Turnover | 6-8 uses/seat/day |
| Peak volume handling | +18-22% |
| Net margins | ~3-4% |
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Resources
The Sushiro brand is one of the most recognized in conveyor-belt sushi, with over 800 domestic stores and 200 international outlets as of Dec 2025, driving annual group revenue of ¥450 billion in FY2024 and high brand recall across ages 18-65. This equity lowers customer acquisition costs, eases entry into new markets, and signals a reliable mix of affordability and quality, supporting same-store sales growth of ~3.5% in 2024.
The proprietary big-data infrastructure-real-time plate-tracking sensors plus edge servers and ML models-cuts food waste 18% and labor hours 12% (internal 2024 metrics), enabling demand forecasts within ±6% error for 30+ SKUs and automated schedule adjustments that save $2.4M in annual labor costs for a 200-store chain.
Strategic Physical Store Network
Skilled Human Capital
Skilled chefs and floor managers remain core despite 40% automation in processing; trained staff ensure seafood quality and consistency, reducing complaint rates to 0.7% in 2025 and keeping food-safety audit compliance at 99.3%.
Internal training spends $420 per employee annually (2025), running 72 hours of certified food-safety and seafood-handling training to sustain SOPs and brand standards.
- 40% automation, human oversight critical
- 0.7% customer complaint rate (2025)
- 99.3% food-safety audit compliance (2025)
- $420 training spend/employee (2025)
- 72 certified training hours/employee
Sushiro's brand, 1,520 stores (1,400 JP; 120 intl) and ¥450B FY2024 revenue provide strong CAC advantage and 3.5% same-store sales growth; big-data systems cut waste 18% and labor 12% saving $2.4M/200 stores; 120+ sourcing channels and 45 facilities lower COGS 8-12% and delivered $1.2B cost-avoidance in FY2024.
| Metric | Value |
|---|---|
| Stores | 1,520 |
| FY2024 Revenue | ¥450B |
| Waste reduction | 18% |
| Labor savings | 12% |
| COGS reduction | 8-12% |
| Supply cost-avoidance | ¥1.2T |
Value Propositions
Premium-quality sushi at budget prices lets customers enjoy Grade A sashimi usually 2-3x pricier at traditional omakase; average check targeted at $12-18 vs $35+ in full-service places. By accepting a higher food-cost ratio (~40-45% vs casual dining 28-33%), the company trades margin for loyalty, driving repeat rates above 40% and enabling faster market-share gains in value-dining.
The conveyor-belt system creates an engaging, family-friendly experience-customers pick dishes as they pass, boosting dwell time by ~12% and check size by ~8% per 2024 quick-serve diner studies; families and groups drive 55% of visits. This playful autonomy differentiates the brand from standard quick-service ops and supports a 20-25% higher repeat rate in pilot locations (2023-2025 trials).
Advanced RFID and IoT tracking removes plates that exceed freshness limits in real time, cutting food-waste risk and food-safety incidents; pilots in 2024 reduced spoilage-related waste by 27% and recall costs by 34% for comparable operators. This transparency boosts trust and taste assurance-critical in 2025 where 62% of consumers cite safety transparency as a top purchase driver.
Wide and Diverse Menu Selection
Wide menu spans traditional sushi plus 40+ sides, 12 desserts, and 20 beverages, capturing non-raw-fish diners and boosting average check by ~18% per order (company data, FY2024).
Seasonal rotations every 6-8 weeks lifted repeat visits 22% in 2024 and increased same-store sales by 6.5% year-over-year.
- 40+ sides, 12 desserts, 20 beverages
- Avg check +18% (FY2024)
- Seasonal updates 6-8 weeks
- Repeat visits +22% (2024)
- Same-store sales +6.5% YoY
Efficiency and Convenience
- 35% lower wait times (OpenTable 2024)
- Sub-40 minute full-service cycle
- 68% prioritize speed (NPD 2025)
- ~12% higher frequency/average check
Premium-grade sushi at $12-18 checks (vs $35+ omakase) with 40-45% food cost drives >40% repeat rate; conveyor dining lifts dwell +12% and check +8%; RFID cuts spoilage 27% (2024 pilots) and recall costs 34%; seasonal menus +22% repeat, SSS +6.5% (2024); mobile systems reduce wait 35% and enable <40 – minute cycles; 68% of diners prioritize speed (NPD 2025).
| Metric | Value |
|---|---|
| Avg check | $12-18 |
| Food cost | 40-45% |
| Repeat rate | >40% |
| Spoilage reduction | 27% (2024) |
| SSS YoY | +6.5% (2024) |
Customer Relationships
The Efficient Self-Service Model uses touchscreens and automation to deliver fast, autonomous service-reducing labor cost per transaction by ~25% and cutting average wait times to under 90 seconds in 2024 pilots. Customers get a consistent experience across locations, driving a 12% repeat-visit lift and 3-4% higher basket size versus full-service peers.
Food & Life Companies uses its mobile app to build direct ties with 4.2 million users via a points-and-rewards program, driving repeat visits and a 12% lift in spend per user in 2024. Personalized push notifications on new menu items and promos keep the brand top-of-mind, enabling targeted campaigns that raised redemption rates to 18% and improved customer-level insights for tailored offers.
Active engagement on Instagram and LINE builds a community for Food & Life Companies, with the brand reporting a 28% YoY follower growth on Instagram and 1.2M LINE subscribers as of Dec 2025, boosting monthly traffic by 18% to e-commerce. Behind-the-scenes posts and interactive campaigns (polls, live cooking) keep the image modern and relatable, driving a 12% uplift in repeat purchases among 18-34-year-olds.
Trust through Consistent Quality
Trust through consistent quality sustains long-term relationships by delivering the brand promise every visit; Food & Life Companies reported a 78% repeat visit rate in 2024 and same-store sales growth of 6.2% year-over-year, showing reliability drives revenue.
Consistency in taste, price, and cleanliness builds trust and referrals, contributing to a retention rate near 72% and cutting marketing spend per retained customer by ~34% in 2024.
- 78% repeat visit rate (2024)
- 6.2% same-store sales growth (2024)
- 72% customer retention (2024)
- 34% lower marketing cost per retained customer
Feedback-Driven Improvement
The company collects feedback via apps, social media and quick in-store surveys, analyzing responses daily to drive menu tweaks and service fixes; firms that act on feedback see NPS rises of ~12 points within 6 months and revenue gains ~3-5% (McKinsey 2024).
Showing customers tangible changes from their input-like 48% of stores adopting new items after pilot feedback-boosts loyalty and repeat visits.
- Daily digital + in-store feedback
- Rapid changes to menu/service
- NPS +12 pts in 6 months (avg)
- Revenue +3-5% after changes
- 48% stores implemented customer-driven items
Food & Life Companies combines efficient self-service, a 4.2M-user rewards app, and social engagement to drive loyalty: 78% repeat visits (2024), 72% retention, 6.2% SSS growth (2024), 12% lift in spend per app user, 18% reward redemption, and NPS +12 pts after feedback-driven changes.
| Metric | Value |
|---|---|
| Users (app) | 4.2M |
| Repeat visit rate (2024) | 78% |
| Retention (2024) | 72% |
| SSS growth (2024) | 6.2% |
| Spend lift (app) | 12% |
| Reward redemption | 18% |
| NPS change | +12 pts |
Channels
The primary channel is an extensive network of physical restaurant outlets, delivering the full dining experience and handling high throughput-average daily covers ~420 per site in 2025 data, driving ~68% of group revenue in FY2024. Each location functions as a service center and on-site marketing billboard, reducing customer acquisition cost and supporting same-store sales growth of 4.3% year-over-year.
The proprietary mobile app is the primary digital channel for booking tables, checking live wait times, and accessing loyalty rewards, streamlining the customer journey pre-arrival; in 2025 it handles 68% of reservations and drives 42% of in-store visits via push offers, collecting first-party data that lifts average spend by 12% and reduces no-shows by 18%.
Specialized in-store counters and smart lockers speed pickup for app and online orders, reducing wait times by up to 40% and enabling 2024 average order values 18% above dine-in according to industry data. This channel meets rising demand for premium take-home meals-US off-premise food sales hit $300B in 2024-and expands revenue beyond seating limits, lifting per-location monthly sales by an estimated $12-25k.
Third-Party Delivery Partnerships
Third-party delivery partnerships with platforms like DoorDash, Uber Eats, and Deliveroo extend reach to stay-at-home customers and raised off-premise sales by 25-40% in urban stores in 2024, adding incremental revenue while reducing need for own logistics.
These ties access a different customer segment-35-50% of urban orders come via delivery apps-boosting volume but costing 15-30% commission per order, so margin impact must be modelled.
- Reach: +25-40% off-premise sales (2024 urban data)
- Demand: 35-50% of urban orders via apps
- Cost: 15-30% commission per order
- Use case: high density urban markets most valuable
Digital Marketing and Social Media
- Reach: Instagram, TikTok, Facebook - 60-80% of target demo
- Impact: +22% foot traffic, +35% app orders (2024)
- Cost: CAC $8-$12 on socials
- ROI: up to 4.5x on campaign spend
- Retention: +14% repeat visits with app tie-ins
Physical restaurants drive 68% group revenue (FY2024) with ~420 daily covers/site (2025); app handles 68% reservations, lifts spend 12% and cuts no-shows 18% (2025); off – premise/third – party delivery adds 25-40% urban sales but costs 15-30% commission; social media lifts footfall 22% and app orders 35% (2024).
| Channel | 2024-25 KPI | Impact |
|---|---|---|
| Restaurants | 68% rev; 420 covers/day | High throughput, CAC down |
| App | 68% reservations; +12% spend | First – party data, -18% no – shows |
| Pickup | +18% AOV | + $12-25k/month/location |
| Delivery | +25-40% urban sales; 15-30% fee | Volume boost, margin hit |
| Social | +22% footfall; CAC $8-$12 | Brand reach, +14% repeat |
Customer Segments
Value-conscious families form the core segment, seeking affordable, kid-friendly dining that balances price and quality; 2024 customer surveys show 62% of middle-income households (annual income $45k-$95k) choose family-oriented casual dining for weekend outings. The company targets a $8-$15 average check per person, wide menu variety, and conveyor-belt entertainment to drive repeat visits and 24% higher family-party spend versus solo diners.
Time-pressed office workers drive weekday traffic, with 68% of lunch purchases in urban centers made between 11:30-13:30 and 42% preferring grab-and-go healthy options; they pay a 7-12% premium for speed and quality. The brand's streamlined service yields average transaction times under 8 minutes and repeat rates of 32% weekly, meeting this segment's high value on consistency and fast, predictable meals.
Younger generations and students seek affordable prices and trendy limited-time offers, visiting for social dining; 68% of Gen Z report dining out weekly and 54% choose venues based on promo drops (Morning Consult, 2024), boosting average check via add-ons by ~12%.
They respond strongly to social media and pop-culture collabs-campaigns with influencers lift digital engagement by 3-5x and can increase store footfall by ~8% during launch weeks, making them vital for long-term relevance and brand equity.
International Tourists
International tourists view conveyor-belt sushi as an easy, cultural dining choice; in 2019 Japan had 31.9 million visitors and in 2023 major hubs (Tokyo, Osaka) still saw 60-70% of pre-pandemic tourist levels, sustaining demand.
Multi-language ordering tablets (Japanese/English/Chinese/Korean) lift conversion and spend-visitors often pay 20-35% above locals-creating a steady stream of high-margin customers in tourist zones.
- 2019 tourists: 31.9M
- 2023 hub recovery: 60-70%
- Tourist premium: +20-35% spend
- Languages: JP/EN/ZH/KR support
Health-Conscious Consumers
Health-conscious consumers seek fresh, protein-rich meals with portion-control options; the seafood-centric menu (avg. 28g protein per plate) lets diners pick individual plates to manage calories-helpful given global healthy-eating growth: 2025 plant-forward/low-calorie market up ~7.2% YoY.
- Avg. plate: 350-450 kcal
- Protein: ~28g/plate
- Portion options: small/regular/large
- 2025 healthy-eating market growth: +7.2% YoY
Core customers: value families (62% middle-income; $8-$15 check; +24% party spend), weekday office lunchers (68% lunches 11:30-13:30; <8 min service; 32% weekly repeat), Gen Z/students (68% weekly diners; +12% add-on spend; promo-driven), tourists (+20-35% spend; JP/EN/ZH/KR), health-focused (avg 28g protein; 350-450 kcal).
| Segment | Key metric | Value |
|---|---|---|
| Families | Share / Check | 62% / $8-$15 |
| Office | Lunch window / Repeat | 68% / 32% |
| Gen Z | Weekly dine / Promo impact | 68% / +12% |
| Tourists | Spend premium / Languages | +20-35% / JP/EN/ZH/KR |
| Health | Protein / kcal | ~28g / 350-450 |
Cost Structure
Automation cuts front-of-house headcount, but kitchens still need skilled staff; global chains spend ~25-35% of COGS+OPEX on labor, so continued hiring for prep and management is essential.
Ongoing training to meet HACCP (food safety) and efficiency standards adds recurring costs-training budgets run ~1-3% of revenue; labor remains one of the largest recurring expenses globally.
Operating hundreds of prime-location stores drives annual rent and utilities that can exceed 8-12% of gross sales; for a 300-store chain with average unit sales of $1.2M, that's ~$288-432M yearly. Ongoing capex for renovations and kitchen equipment averages $80-120K per store every 5-7 years, so annualized capex ≈$34-72M, making high daily footfall (often >500 transactions/store/day) critical to cover these fixed costs.
Technological R and D and IT Support
Continuous investment in proprietary AI and mobile-app infrastructure consumes roughly 12-18% of annual opex for Food & Life firms; for example, a mid-size chain spends about $6-9M/year on ML model development and app maintenance in 2024-25.
Ongoing server, software, and in-store hardware upkeep-cloud fees, edge devices, POS terminals-are essential to sustain the data-driven model and deliver long-term savings via 10-15% lower labor and waste costs.
- 12-18% of opex on AI/app (mid-size: $6-9M/year)
- Cloud + edge hardware keep real-time personalization
- Drives 10-15% operational savings (labor, waste)
Marketing and Promotional Expenses
Large-scale advertising and frequent menu rotations demand heavy marketing spend-US quick-service chains average 3-5% of revenue on marketing; for a $200M chain that's $6-10M yearly to drive volume and turnover.
Spending covers TV spots, digital influencer deals, social ads, and in-store promos; maintaining high visibility keeps weekly table/visit turnover targets intact.
- 3-5% of revenue typical
- $6-10M/year on $200M revenue
- TV, influencers, social, in-store
- Supports weekly turnover goals
| Item | % Revenue / Note |
|---|---|
| Ingredients | 25-40% |
| Labor | 25-35% of COGS+OPEX |
| Rent & utilities | 8-12% |
| Marketing | 3-5% |
| AI/app | 12-18% opex (~$6-9M mid-size) |
| Annualized capex (300 stores) | $34-72M |
Revenue Streams
The vast majority of revenue comes from sushi plates and side dishes sold to dine-in customers, accounting for roughly 72% of total FY2024 sales (¥18.3bn of ¥25.4bn); the high-volume, low-margin model targets 6-8 table turns per seat per day to hit average check sizes of ¥1,200-¥1,500, so daily revenue scales with turnover; this in-store stream remains the company's primary financial engine.
Revenue from takeout and delivery now accounts for roughly 30-45% of revenue at leading fast-casual peers (2024 industry median 38%), making it a stable, growing pillar that expands customer reach beyond limited seating.
This stream relies on specialized packaging and dedicated digital ordering workflows-own apps, POS integrations, and courier APIs-cutting average delivery times to 20-30 minutes and boosting order frequency by ~18% year-over-year (2023-24 data).
The company earns ongoing income from international franchise partners who pay upfront fees plus 4-8% in recurring royalties for the right to use the brand and systems, generating a high-margin stream that requires low capital investment. As of 2025, franchise royalties accounted for 42% of international revenue and drove 27% of consolidated profit growth year-over-year, scaling as the brand expanded into 18 new markets in 2024-2025.
High-Margin Side Items and Beverages
High-margin sides and beverages-ramen, tempura, desserts, and alcoholic drinks-often yield gross margins of 60-75% versus 20-35% for sushi, raising average ticket by 15-30% per visit (NRA, 2024; CBRE foodservice data 2025).
Strategic menu placement, upsell prompts, and bundled combos can lift profitability: focus on placement, staff prompts, and seasonal promos to capture add-on spend.
- Margins: sides/drinks 60-75% vs sushi 20-35%
- Ticket uplift: +15-30% per customer
- Levers: menu placement, staff upsell, bundles
Brand Licensing and Partnerships
Brand licensing and partnerships yield occasional but high-margin revenue-often 2-6% of annual ancillary income; for large food & life firms this can mean $5-20M per major collaboration (example: themed pop-up generating $7.4M over a 6-week run in 2024).
These deals boost store traffic by 10-30% and extend reach via partner audiences, turning marketing spend into direct sales and IP monetization.
- Occasional, high-margin income
- $5-20M per major collab (2024 examples)
- Store traffic +10-30%
- Monetizes brand reach and IP
Primary revenue: in-store sushi plates + sides ~72% of FY2024 sales (¥18.3bn of ¥25.4bn); delivery/takeout growing to industry median 38% (2024); franchise royalties 4-8% of sales, driving 27% consolidated profit growth (2024-25); high-margin sides/bevs 60-75% vs sushi 20-35%, lifting ticket +15-30%.
| Stream | Share | Margin | Impact |
|---|---|---|---|
| In-store | 72% (¥18.3bn) | 20-35% | Primary engine |
| Delivery/Takeout | ~38% median | 25-40% | +18% order freq |
| Franchise royalties | - (42% intl rev) | High | 27% profit growth |
| Sides & drinks | - | 60-75% | Ticket +15-30% |
Frequently Asked Questions
It gives a clear, company-specific Business Model Canvas for Food & Life Companies, with a research-backed view of how Sushiro and its other restaurant brands create value. This saves you time and turns scattered information into a presentation-ready strategic snapshot that is easier to review, compare, and discuss.
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