Urban Delivery Trends in 15-30 Minutes in Vietnam 2025-2027: Micro-fulfillment Technology, Dark Stores and Logistics Challenges to Address

The demand for "instant" delivery from consumers is reshaping the entire urban logistics industry. From ordering meals and buying fresh food to daily necessities, delivery time expectations have decreased from 2-3 days to just 15-30 minutes. This article provides a comprehensive analysis of the quick commerce (q-commerce) trend in Vietnam, core technologies and logistics challenges that businesses need to prepare for to capitalize on strong growth opportunities during 2025-2027.

Quick commerce in Vietnam 2025-2027: Overall picture and growth drivers

Quick commerce, or q-commerce, is an e-commerce model focused on ultra-fast delivery within 15-30 minutes from when customers place orders. Unlike traditional e-commerce operating nationwide with delivery times measured in days, quick commerce Vietnam focuses on urban areas with service radius typically under 3km from warehouse points.

In major cities like Hanoi and Ho Chi Minh City, changing consumer behavior is creating strong momentum for this segment. Fast-paced lifestyle, increasing rate of young households, and the habit of frequent small purchases instead of bulk buying create a foundation for 15-minute delivery services to thrive.

Factors driving q-commerce logistics growth include:

Smartphone penetration and digital payments: High smartphone usage rates combined with the popularity of e-wallets enable fast ordering and payment processes, facilitating small, instant transactions.

Concentrated urban population density: Central city areas with high population density allow a single small warehouse to serve thousands to tens of thousands of households within a short radius, optimizing operational efficiency.

Demand for fresh food and convenience: Vietnamese consumers have a culture that favors fresh food, daily shopping. Ultra-fast delivery services meet this need without requiring them to travel to markets or supermarkets.

Competition and diversification of platforms: Technology platforms are expanding from food delivery to other categories, creating healthy competition that drives service improvements and cost reduction.

Forecasts for 2025-2027 show this segment will continue to expand strongly, not only in the two major cities but also spreading to mid-tier cities like Da Nang, Can Tho, Hai Phong, where population density and average income are gradually increasing.

Micro-fulfillment center: Design, deployment location and optimal scale for Vietnam market

A micro-fulfillment center (MFC) is a small-scale order fulfillment center, typically 100-500m², located near customer areas to minimize delivery time. This is the core technology foundation for quick commerce, completely different from traditional warehouses in purpose and operation.

Optimal MFC design

An effective micro-fulfillment center needs to be designed according to principles:

Optimize picking time: Warehouse layout must ensure fast-moving items are placed in the most accessible positions. Picking staff need to complete an average order within 2-3 minutes to ensure total processing and delivery time does not exceed 15-30 minutes.

Temperature zoning: Since q-commerce typically serves fresh food, MFC needs at least 3 zones: dry area (regular consumer goods), chilled area (vegetables, fruits, dairy), and frozen area (meat, fish, prepared foods).

Staging area for shippers: Separate space for shippers to wait and receive prepared orders, avoiding congestion in the picking area.

Technology integration: Warehouse management system (WMS) directly connected to real-time TMS to automatically allocate orders to the nearest shipper and continuously track order status.

Deployment location

Choosing locations for MFC is a decisive success factor. Main principles include:

Order density analysis: Use historical data to identify areas with highest order density. Typically, these are high-rise apartment complexes, concentrated office areas, or densely populated residential areas.

2-3km service radius: To ensure travel time does not exceed 10-12 minutes (including traffic), MFC needs to be within this radius from the center of the service area.

Reasonable rental costs: MFC does not necessarily need to be in the most expensive location (like main street frontage) as it does not serve walk-in customers. Locations in large alleys, ground floors of apartments, or light industrial zones near residential areas are often balanced choices between cost and speed.

Transportation infrastructure: Location needs convenient access for motorcycles and small trucks to receive supplementary goods from central warehouses.

Optimal scale

MFC scale depends on the expected number of orders served daily:

• Small-scale MFC (100-200m²): Serves 200-500 orders/day, stocks about 1,000-1,500 SKU (Stock Keeping Unit), suitable for medium-density areas.

• Medium-scale MFC (200-350m²): Serves 500-1,000 orders/day, stocks 1,500-2,500 SKU, suitable for crowded areas.

• Large-scale MFC (350-500m²): Serves 1,000-2,000 orders/day, stocks 2,500-4,000 SKU, for hotspots with very high demand.

The strategy of dispersing many small MFCs is often more effective than concentrating on a few large MFCs, as it reduces average delivery distance and increases ability to respond to sudden demand in each area.

Dark store: Operating model, differences from traditional stores and infrastructure requirements

A dark store is a store that only serves online orders, not welcoming in-person shoppers. This model is becoming a major trend in q-commerce logistics because it completely optimizes order processing speed instead of in-store shopping experience.

Core differences from traditional stores

Space design: Dark stores completely eliminate customer-serving elements like eye-catching signs, beautiful display shelves, wide aisles, checkout areas. Instead, the entire area is optimized for goods storage and picking staff movement.

Flexible location: Not needing attractive frontage or prime location, dark stores can be placed in more discreet locations while still ensuring proximity to customers and logistics convenience.

Operating process: The entire process is optimized for speed - from arranging goods by purchase frequency, using barcode scanning technology for accurate picking, to quick packaging areas and staging for shippers.

Specialized personnel: Dark store staff are trained to focus on fast picking skills, fresh food quality checking and careful packaging, rather than customer consultation skills.

Infrastructure requirements for dark stores

Optimal shelving systems: Shelving needs to be designed to maximum height staff can reach (typically 2-2.5m) to utilize vertical space, while ensuring aisles wide enough for quick movement with carts.

Efficient cooling systems: Dark stores need to invest in high-quality refrigerators and freezers with stable capacity. Frequent door opening during picking requires equipment to maintain temperature well.

Stable network connection: The entire process from receiving orders, picking, packaging to dispatch all depends on online WMS/TMS systems. Loss of connection can cause serious disruptions.

Goods receiving area: Dark stores need frequent stock replenishment (typically 2-3 times/day) from central warehouses. Need separate area to receive goods, count and arrange on shelves without affecting picking operations.

Security and control: Without customers coming and going, dark stores need surveillance camera systems and strict access control to ensure safety of goods and staff.

Economic advantages of dark stores

The dark store model brings higher economic efficiency compared to traditional stores in the q-commerce context:

• Rental costs 30-50% lower thanks to not needing prime locations
• Higher staff productivity due to job specialization
• Lower loss rate thanks to tight management and fast inventory turnover
• Easy to scale because not dependent on foot traffic

However, dark stores also require minimum order volumes to operate efficiently, typically from 150-200 orders/day or more.

Dynamic routing system and automatic dispatch within 3km radius

In a 15-minute delivery environment, optimizing routes and allocating shippers cannot rely on manual judgment. Dynamic routing system and automatic dispatch are key factors to ensure time commitments are met.

Dynamic routing principles

Unlike static routing (pre-planning routes for entire shifts), dynamic routing continuously updates and optimizes based on:

Real-time shipper location: System tracks GPS of all active shippers, knowing exactly who is free, who is delivering and expected completion time.

Continuous new orders: When new orders appear, system calculates which shipper can reach MFC/dark store fastest, complete delivery within committed time, and return to optimal position to receive next order.

Traffic conditions: Integrates traffic data (if available) to predict travel time more accurately. Within 3km radius, factors like rush hour, one-way streets, congested areas have major impact.

Smart order batching: In some cases, system can batch 2-3 orders in same area, same direction for one shipper to increase efficiency, as long as it doesn't violate delivery time commitments.

Automatic dispatch

The automatic dispatch process occurs as follows:

1. Receive order: Real-time TMS system receives order from customer app/website
2. Feasibility analysis: Check inventory at nearest MFC/dark store, confirm can fulfill
3. Calculate time: Predict picking time (typically 2-4 minutes) + shipper wait time + delivery time
4. Select shipper: Algorithm selects optimal shipper based on location, availability status, quality rating
5. Send notification: Shipper receives notification on app, goes to MFC/dark store to receive goods
6. Monitor execution: Continuously update status (preparing, shipper received, delivering, completed)

Technology requirements

To operate dynamic routing systems effectively requires:

Real-time TMS: Transportation management software must process data within seconds, without delay. Any delay in order assignment directly affects the 15-minute delivery commitment.

API integration: Seamless connection between ordering system, WMS at MFC/dark store, TMS, and shipper app. Data must sync instantly between systems.

Optimization algorithms: Use algorithms like nearest neighbor, genetic algorithm, or machine learning to find optimal solutions in short time.

Scalability: System must handle thousands of simultaneous orders during peak hours without overload.

Specific challenges in Vietnam

Vietnam's urban traffic environment has unique characteristics:

• Non-standardized addresses, many hard-to-find small alleys
• Mixed traffic (motorcycles, cars, bicycles) with high density
• Travel time varies greatly between time frames
• Digital map infrastructure not absolutely detailed

Therefore, the system needs to combine both digital data and local shipper practical experience. Some supplementary solutions include:

• Allow shippers to adjust routes based on experience
• Build "hard-to-find address" database with detailed instructions
• Use familiar landmarks instead of relying only on house numbers
• Quick call mechanism for customers when navigation assistance needed

Traffic density challenge: Motorcycle/electric bicycle solutions and optimal time slots

High traffic density in Vietnam's major cities is the biggest challenge to 15-minute delivery commitments. However, this is also an opportunity to optimize vehicles and operational strategies.

Vehicle selection

Motorcycles: Still the most popular vehicle for q-commerce logistics in Vietnam because:

• Flexible movement in heavy traffic
• Low operating costs
• Shippers familiar with operation
• Can carry medium loads (10-15kg)

However, motorcycles have limitations in cold storage capacity and large loads.

Electric bicycles: Becoming a new trend, especially in central areas because:

• Easy to move in small alleys and crowded areas
• Low fuel costs (only need charging)
• Environmentally friendly, aligned with sustainability trends
• Less restricted by traffic regulations

Disadvantages are slower speed than motorcycles and more limited cargo capacity.

Specialized thermal boxes: Regardless of vehicle, equipping high-quality thermal boxes/bags is mandatory to ensure fresh goods are not damaged during transportation.

Time slot strategy

Analyze traffic data to optimize operations by time slots:

Morning rush hour (7am-9am):

• High traffic density, travel time increases 40-60%
• Should increase number of ready shippers in the area
• Prioritize shorter service radius (1.5-2km instead of 3km)
• Focus on breakfast orders, urgent necessities

Average hours (9am-11am, 2pm-5pm):

• More favorable traffic, can expand service radius
• Good time to replenish goods for MFC/dark store

Evening rush hour (5pm-7pm):

• Very high traffic density, biggest challenge
• Need to increase shippers, can use electric bicycles in congested areas
• This is also the time frame with highest demand (ordering dinner, buying groceries home)

Evening and weekend hours:

• Traffic decreases significantly, easy to ensure delivery time
• Can reduce number of on-duty shippers while still meeting demand well

Supplementary technology solutions

Hourly demand forecasting: Use historical data to predict order volumes and dispatch shippers accordingly, avoiding excess/shortage of workforce.

Traffic jam alerts: Integrate real-time traffic information to adjust routing or notify customers of possible delays.

Flexible incentives: Increase allowances for shippers during peak hours to ensure adequate resources.

Central area rental costs: Distributed small depot strategy instead of large warehouse

Rental costs in central areas of Vietnam's major cities are one of the biggest financial challenges for the quick commerce model. The distributed small depot solution is proving more economically effective than the centralized large warehouse model.

Comparing two models

Centralized large warehouse:

• Typically located in suburbs or industrial zones, low rental costs
• Large scale (1,000-5,000m²), diverse inventory
• Far from customers, cannot deliver in 15-30 minutes
• Suitable for traditional e-commerce (1-3 day delivery)

Distributed small depots:

• Multiple small points (100-500m²) located near customer areas
• Each depot covers 2-3km radius
• Higher rental cost per point, but lower total cost per order thanks to delivery speed
• Perfect fit for ultra-fast delivery

Cost optimization strategy

Smart location selection:

• Instead of renting main street frontage, find locations in large alleys, ground floors of apartments, or small commercial areas
• Prioritize developing areas, not yet "hot" in rental prices but already have high population density
• Consider non-traditional spaces like apartment basements (if compliant), areas under bridges (with roof cover), or converted containers

Flexible contract negotiation:

• Short-term contracts (6-12 months) during trial phase
• Negotiate clauses to expand/reduce area by season
• Consider partnerships with landlords (revenue sharing instead of fixed rent)

Leverage existing infrastructure:

• Partner with convenience store chains, small supermarkets to use part of the area as MFC
• Share premises with businesses with similar needs (co-warehousing)
• Use idle space of other businesses during off-peak hours

Break-even calculation

A small depot typically has cost structure:

Fixed costs:

• Rental fees
• Cooling equipment, shelving
• Internet, electricity, water
• Depot management staff (1-2 people)

Variable costs:

• Picking staff (per shift)
• Shipper costs (per order)
• Cooling electricity (increases with volume)
• Goods loss

For a depot to operate efficiently, typically needs to achieve minimum 150-200 orders/day. Below this threshold, fixed costs allocated per order are too high, making the model unsustainable.

Optimal network

Instead of investing simultaneously in many depots, businesses should:

1. Start with 2-3 depots in areas with highest order density
2. Collect actual operational data for 3-6 months
3. Analyze "dead zones" (areas with demand but not well served)
4. Expand step by step, each new depot must be based on data proving demand
5. Close or relocate inefficient depots promptly

This strategy reduces initial investment risk and gradually optimizes the network based on actual data instead of assumptions.

Fresh food quality management: Preservation, packaging and temperature control processes

Fresh food (vegetables, fruits, meat, fish, dairy, prepared foods) accounts for a large proportion in q-commerce and is also the most difficult category to manage quality. Mistakes in storage or transportation can cause product damage, complaints and loss of reputation.

Preservation process at MFC/dark store

Temperature classification:

• Room temperature (20-25°C): Dry goods, canned goods, spices
• Chilled (4-8°C): Vegetables, fruits, dairy, unopened prepared foods
• Frozen (-18°C to -22°C): Meat, fish, frozen foods

Each type needs separate area with appropriate equipment. Should not mix different temperature groups.

FIFO (First In First Out) control:

• First-in goods must be used/sold first
• Clearly record receipt date, expiration date on each lot
• Regular checks to remove near-expiry goods

Input quality inspection:

• Receiving staff must be trained to recognize good quality fresh food
• Reject substandard goods right at receiving stage
• Clearly record origin, lot for traceability when needed

Packaging process

Appropriate packaging materials:

• Thermal bags/boxes for chilled and frozen goods
• Gel/ice packs to maintain temperature during transportation
• Separate bags/trays for each type of goods, avoid odor transfer

Standard process:

1. Pick according to list, check quality of each item
2. Classify heavy/light, hard/soft goods for proper packaging
3. Place ice packs for chilled goods, ensure good contact
4. Seal carefully, clearly label order
5. Hand to shipper with instructions on proper bag placement (not tilted, upside down)

Time between picking and delivery:

• Target: No more than 15-20 minutes from taking goods out of refrigerator to customer delivery
• During this time, good quality thermal materials can maintain safe temperature

Temperature control during transportation

Equipment for shippers:

• Standard thermal boxes/bags with thick insulation layer
• Backup ice packs at depot for replacement when needed
• Thermometer to check temperature inside bag (for sensitive goods)

Transportation process:

• Minimize time opening thermal bags
• Avoid leaving bags in direct sunlight
• Prioritize fresh food delivery first if multiple orders

Monitoring and improvement:

• Collect customer feedback on fresh food quality
• Track complaint rate related to damage
• Test new packaging materials, continuous improvement

Handling special situations

Peak hot weather:

• Increase number of ice packs
• Shorten maximum delivery time
• Consider temporarily suspending some perishable items during hottest hours

Large/complex orders:

• May need multiple separate thermal bags
• Coordinate 2 shippers if load too large
• Notify customers about possibly longer delivery time

Managing fresh food quality well not only reduces losses but also builds customer trust, a core factor for sustainable development of quick commerce.

Real-time TMS/WMS technology requirements for quick commerce

Technology is the backbone of the quick commerce model. Without real-time TMS (Transportation Management System) and WMS (Warehouse Management System), 15-minute delivery is almost impossible at commercial scale.

Core requirements for real-time TMS

Instant processing:

• System must receive, analyze and allocate orders within 1-3 seconds
• Delay of even tens of seconds can cause time commitment violations

Continuous GPS tracking:

• Update shipper location every 5-10 seconds
• Visual display on map for dispatchers
• Provide information for customers to track orders

Smart allocation algorithm:

• Consider multiple factors: distance, traffic, shipper status, order priority
• Automatically assign orders or suggest for dispatcher approval
• Ability to re-assign if shipper encounters problems

Multi-platform integration:

• Connect with customer app, shipper app, WMS at depot
• Open API to integrate with other systems (ERP, CRM, payment gateway)
• Real-time data sync between all touchpoints

Reporting and analytics:

• Real-time dashboard on order volume, active shippers, average delivery time
• Alerts when anomalies occur (many late orders, shipper shortage)
• Historical data to analyze trends and optimize

Core requirements for real-time WMS

Accurate inventory management:

• Update inventory instantly upon receipt/dispatch
• Display accurate inventory for ordering system (avoid selling out-of-stock items)
• Alert when goods running low for timely replenishment

Optimal picking guidance:

• Guide picking staff along shortest route in warehouse
• Batch multiple orders for simultaneous picking when appropriate
• Confirm each item by barcode scanning to avoid errors

Goods location management:

• Each SKU has fixed location in warehouse, updated when changed
• Optimize location based on sales frequency (best-sellers placed nearest)
• Support quick search when needed

TMS integration:

• Notify TMS immediately when order picking completed
• Receive information about incoming shipper
• Update status when shipper received goods

Quality management:

• Record expiration date, lot information
• Alert near-expiry goods need priority selling
• Track damage, loss rate

Technology solution selection

Businesses have three main choices:

In-house development:

• Advantages: Fully customizable to needs, complete control
• Disadvantages: High cost, long time, need strong IT team
• Suitable for: Large enterprises, with long-term investment resources

Use ready-made solutions:

• Advantages: Quick deployment, predictable costs, technical support available
• Disadvantages: Less customization, vendor dependent
• Suitable for: Small and medium businesses, need quick start

Hybrid combination:

• Use ready platform as core, develop separate modules for specific needs
• Balance between speed and customization
• Suitable for: Most businesses

Regardless of choice, most important requirement is system must be stable, fast and easy to use. Downtime or system errors during peak hours can cause serious damage to reputation and revenue.

Business model comparison: 3PL, self-operated marketplace and transforming retailer

In the field of q-commerce logistics, three main business models are competing and complementing each other: specialized 3PL, self-operated marketplace logistics, and traditional retailer transformation. Each model has its own advantages and disadvantages.

Specialized q-commerce 3PL

Characteristics:

• Logistics company specializing in providing ultra-fast delivery services for other businesses
• Does not own goods, only provides warehousing and delivery services
• Income from service fees (per order, per month, or hybrid)

Advantages:

• Deep logistics expertise, optimized operational efficiency
• Serve many customers, leverage economies of scale
• Flexible expansion/contraction according to demand
• No inventory risk

Challenges:

• Fierce competition, pressure on service prices
• Customer dependent, difficult to control order sources
• Need heavy investment in technology and network to compete
• Margin typically lower than integrated model

Suitable for:

• Businesses with logistics operational strengths, existing networks
• Those who want to serve many industries, many customers
• Startups in logistics field wanting to focus on service

Self-operated marketplace

Characteristics:

• Platform connecting buyers and sellers, while building own logistics system
• Control entire customer experience from ordering to receiving
• Income from both sales commission and service fees

Advantages:

• Complete control of customer experience
• Full data on both demand and supply for optimization
• Can cross-sell other services (advertising, finance...)
• Build strong brand and high loyalty

Challenges:

• Need very large investment in technology, marketing and logistics
• Complex management of multiple business areas simultaneously
• Bear high fixed logistics costs
• Competitive pressure from both other marketplaces and 3PLs

Suitable for:

• Large technology platforms with strong investment resources
• Businesses already have large customer base on platform
• Those who want to build closed ecosystem

Transforming retailer

Characteristics:

• Traditional retail chain (supermarkets, convenience stores) transforming to serve online
• Leverage existing stores as fulfillment points
• Income from sales, control entire value chain

Advantages:

• Already have store network near customers
• Already have goods, suppliers, inventory management system
• Brand and customer trust already built
• Can leverage stores for both offline and online (omnichannel)

Challenges:

• Traditional stores not designed for online fulfillment, low efficiency
• Organizational culture difficult to change quickly
• Need strong technology investment, while this may not be strength
• Compete with own offline model

Suitable for:

• Retail chains already have many stores in good locations
• Businesses with resources to invest in digital transformation
• Those who want to leverage existing assets instead of building from scratch

Overall comparison

Criteria	3PL	Marketplace	Retailer
Initial investment	Medium	Very high	Medium
Deployment speed	Fast	Slow	Medium
Experience control	Low	High	High
Margin	Low-Medium	High	Medium-High
Risk	Medium	High	Medium
Scalability	High	Very high	Medium

In reality, boundaries between models are blurring. Many marketplaces are opening logistics services to outsiders (becoming 3PL), retailers partnering with 3PLs instead of self-operating, and 3PLs starting to trade some own goods. Integration and cooperation trends are becoming more popular than pure competition.

Depot network expansion strategy: Location selection principles and coverage area calculation

Expanding distributed depot network is a key factor to scale quick commerce. However, opening new depots needs to be based on data and thorough analysis, should not deploy massively based on intuition.

Principles for selecting new depot locations

Demand density analysis:

• Use current order data to identify areas with high demand but not well served
• Analyze demographics: population, age, income, household density
• Consider future development of area (new apartment projects, commercial areas...)

Coverage area calculation:

• Draw heatmap of current order density
• Determine optimal service radius (typically 2-3km) based on terrain and traffic
• Calculate overlap with existing depots to optimize total coverage

Competition assessment:

• Survey existing q-commerce services in the area
• Identify market gaps or competition opportunities
• Analyze competitor strengths/weaknesses for positioning

Operational feasibility:

• Is rental cost appropriate with revenue forecast
• Sufficient workforce (pickers, shippers) in the area
• Does infrastructure (electricity, water, internet) meet requirements
• Do local regulations permit operations

New depot opening process

Phase 1: Research and planning (4-6 weeks)

• Collect data, analyze market
• Field survey 3-5 potential locations
• Prepare detailed business case (revenue forecast, costs, break-even time)
• Make go/no-go decision

Phase 2: Infrastructure preparation (3-4 weeks)

• Sign rental contract
• Install equipment (shelves, refrigerators, network system)
• Establish WMS/TMS system connection
• Recruit and train staff

Phase 3: Testing (2-3 weeks)

• Test operation with limited order volume
• Discover and fix problems
• Adjust processes, layout if needed
• Additional staff training

Phase 4: Official operation

• Gradually expand service area
• Marketing to increase awareness in area
• Monitor KPIs closely: orders/day, delivery time, complaint rate
• Continuously adjust to optimize

Optimal depot number calculation

Simple formula to estimate required depot number:

Number of depots = (Total service area) / (Coverage area per depot)

Where:

• Coverage area per depot ≈ π × (service radius)²
• Example: 2.5km radius → Coverage area ≈ 20 km²

However, reality is more complex because:

• Order density uneven between areas
• Terrain (rivers, mountains, restricted zones) affects actual radius
• May need partial overlap between depots to ensure backup

Better method is using network optimization tool to calculate based on actual data about demand distribution and costs.

Step-by-step expansion strategy

Phase 1: Penetration (0-12 months)

• 2-3 depots in areas with highest demand
• Focus on building good operations, creating reputation
• Learn and optimize processes

Phase 2: Selective expansion (12-24 months)

• Add 3-5 depots in areas with clear demand
• Start standardizing operational processes
• Develop multi-depot management tools

Phase 3: Rapid expansion (24-36 months)

• Accelerate to 10-15 depots or more
• Apply standardized processes
• Leverage scale to negotiate better with suppliers

Phase 4: Optimization (36+ months)

• Fine-tune network: close inefficient depots, open new depots in better locations
• Increase depot density in high-demand areas
• Consider expansion to other cities

Each phase needs clear KPIs and review points to decide whether to continue or adjust strategy.

Investment level and logistics infrastructure preparation roadmap

Entering the q-commerce market requires significant investment in logistics infrastructure. Businesses need to clearly understand necessary investments and establish reasonable roadmap to optimize resources.

Main investments

Physical infrastructure:

Depot/MFC/Dark store:

• Rental fees (deposit + 3-6 months advance)
• Cooling equipment (refrigerators, freezers)
• Shelving, storage equipment
• Packaging equipment (tables, scales, label printers)
• Premises repair, renovation

Transportation vehicles:

• Motorcycles/electric bicycles (purchase or support shipper rental)
• Quality thermal boxes/bags
• Protective equipment for shippers

Technology:

Software:

• Real-time TMS system
• WMS system
• Customer app (web + mobile)
• Shipper app
• Reporting and analytics system
• License/subscription fees (if using ready solutions)

Hardware:

• Computers, barcode scanners at depot
• Smartphones for shippers (if provided)
• Routers, network equipment
• Security cameras

Personnel:

Initial:

• Operations team (depot management, pickers)
• Technology team (if developing in-house)
• Dispatch/customer service team
• Shippers (can be collaborators)

Training costs:

• Process, system training
• Food safety training
• Customer service training

Working capital:

• Initial inventory (if self-trading goods)
• First 3-6 months operating costs (when revenue not yet covering costs)
• Reserves for unexpected situations

Investment estimates by scale

Below is a general reference framework, actual costs may vary depending on locality and specific model:

Trial scale (1 depot, 200-300 orders/day):

• Suitable for: Startups, small businesses testing
• No specific figures listed, but need to prepare budget for above categories at basic level
• Expected break-even time: 12-18 months

Medium scale (3-5 depots, 1,000-1,500 orders/day):

• Suitable for: Medium enterprises, platforms with existing customer base
• Need stronger investment in technology and management personnel
• Expected break-even time: 18-24 months

Large scale (10+ depots, 5,000+ orders/day):

• Suitable for: Large enterprises, marketplace platforms
• Need strong technology system, professional management team
• Expected break-even time: 24-36 months

Infrastructure preparation roadmap

Month 1-2: Research and design

• Market research, competitor analysis
• Design business model, operational processes
• Select technology solution (self-develop or use ready-made)
• Prepare detailed financial plan

Month 3-4: Technology preparation

• Develop/integrate TMS/WMS system
• Develop customer and shipper apps
• Test system, fix bugs
• Prepare product database, pricing

Month 5-6: Physical infrastructure preparation

• Find and rent premises for first depot
• Purchase, install equipment
• Establish goods receiving, storage processes
• Recruit core operational staff

Month 7-8: Testing

• Pilot operation with limited customer group
• Collect feedback, discover problems
• Adjust processes, systems
• Additional staff training

Month 9-12: Launch and gradual expansion

• Official market launch
• Run marketing to increase awareness
• Closely monitor operational metrics
• Prepare to open 2nd depot if results good

Year 2: Expansion and optimization

• Open more depots based on actual data
• Continuous improvement of processes, technology
• Expand product categories
• Build more professional team

Year 3+: Scale and diversification

• Accelerate depot opening, geographic expansion
• Develop additional services (B2B, white label for partners...)
• Optimize costs through scale
• Consider expansion to other channels

Investment management principles

Prioritize quick ROI: Focus on investments that bring quick results (depots in high-demand areas) before expanding to areas with lower potential.

Phase investment: Should not pour all capital at once. Divide into milestones, evaluate after each phase to decide whether to continue or adjust.

Balance in-house and outsource: Some aspects can be outsourced in early phase (e.g., hire shipper service, rent software) to reduce initial investment, then build in-house when scale large enough.

Measure closely: Establish clear KPIs for each investment and monitor continuously. Ready to cut losses on ineffective investments.

Growth forecast: Driving factors and development opportunities

The q-commerce market in Vietnam is in a strong growth phase and still has much untapped potential. Understanding driving factors and development opportunities helps businesses orient long-term strategies.

Growth driving factors

Consumer behavior change:

Younger generation (Gen Z and Millennials) increasingly account for large proportion in population and workforce. They are familiar with technology, prefer convenience and willing to pay for fast delivery services. "Instant gratification" culture is spreading, making waiting 1-2 days for orders less attractive.

Increasing urbanization:

The proportion of population living in cities continues to increase, creating densely populated areas - ideal conditions for quick commerce. High-rise apartment projects, new urban areas springing up create "hot zones" with thousands of households concentrated in small radius.

Technology infrastructure improvement:

Mobile internet speed increases (4G widespread, 5G begins deployment), electronic payment increasingly convenient, and cheap smartphones widely available. All create foundation for easy and fast online ordering.

Competition and innovation:

Technology platforms continuously innovate, improve services to gain market share. This healthy competition drives better service quality, more reasonable prices, and continuously improved customer experience.

Epidemic changes habits:

Although COVID-19 pandemic has passed, consumers' online shopping habits have been formed and maintained. Many people have experienced the convenience of online ordering and don't want to return completely to offline shopping.

Development opportunities in next 3 years

Geographic expansion:

Quick commerce Vietnam currently mainly concentrated in Hanoi and Ho Chi Minh City. Great opportunity lies in mid-tier cities like Da Nang, Can Tho, Hai Phong, Nha Trang, Bien Hoa, Thu Duc. These cities have sufficiently large population density, gradually increasing income, and online shopping habits forming.

Category diversification:

Currently q-commerce mainly serves food and necessities. Expansion opportunity to:

• Pharmaceuticals (emergency medicine delivery in 15-30 minutes)
• Baby products (milk, diapers, toys)
• Cosmetics and personal care
• Small electronic accessories
• Fresh flowers and gifts

B2B segment:

Besides serving individual consumers (B2C), there is great opportunity in fast delivery to businesses (B2B):

• Restaurants, cafes needing urgent ingredients
• Offices needing stationery, equipment
• Small stores needing quick stock replenishment

Integrated value-added services:

• Chef/simple processing services
• Installation/user guidance services
• Packaging recovery services (circular economy)
• Nutrition counseling, menu planning

Advanced technology:

• AI predicts demand to pre-stock goods at depots near customers
• Drone/robot automatic delivery (trial in permitted areas)
• Computer vision to automatically check fresh food quality
• Blockchain for origin traceability, increase reliability

Franchise/white label model:

Instead of self-operating all depots, large platforms can provide technology and support local partners to operate depots under franchise or white label model. This helps expand quickly with lower capital.

Challenges to overcome

Fierce competition:

Market is attracting many investors, leading to fierce competition on price, service quality and marketing. Businesses need to find clear differentiation to survive.

Profit pressure:

Q-commerce model has thin margins, high operating costs. Many businesses are "burning money" to gain market share, but pressure from investors on profit will gradually increase.

Quality management at scale:

When expanding quickly, maintaining consistent service quality between depots is major challenge. Need standardized processes and tight monitoring tools.

Legal regulations:

As industry grows large, will have many new regulations on food safety, traffic, labor... Businesses need to monitor and comply with current regulations.

Environmental sustainability:

Increasing number of shippers moving, packaging... creates environmental impact. Pressure on social responsibility and sustainable development will increase.

Conclusion

Quick commerce is an irreversible trend in Vietnam. The 2025-2027 period will be crucial for businesses to build solid foundations in technology, infrastructure and operations. Those who invest in the right direction, operate efficiently and focus on customer experience will have great opportunities to capitalize on this strong growth wave.

Micro-fulfillment center technology, dark store model, real-time TMS and distributed depot network are not just buzzwords but essential foundations for success in ultra-fast delivery. Businesses need to prepare thoroughly both strategically and operationally, while flexibly adjusting to market realities to optimize opportunities and minimize risks.