Using
Momen · full-stack no-code platform
to build

一个面向批发客户的在线选品网站

$111.92
/ mo
Build this app for free
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PROJECT OVERVIEW

What this app does

这是一个面向约2000名批发客户的在线选品网站,集中展示约10000个SKU,供客户每天浏览、筛选并查看商品详情。客户可以保存自己的选品结果和意向数量,目录管理员负责维护商品分类、SKU资料、批发信息与商品主图。

作为批发客户,我可以按分类、名称或SKU筛选商品目录,以便日常选品
作为批发客户,我可以查看单个SKU的商品详情、批发信息和主图
作为批发客户,我可以把SKU加入选品清单并填写意向数量
作为批发客户,我可以查看、修改或移除自己的选品记录
作为目录管理员,我可以创建和维护商品分类及SKU资料
作为目录管理员,我可以查看现有商品并更新其资料、主图和可见状态

The following user counts are projected totals after one year of growth

5
catalog_managers
负责创建分类、录入SKU并维护商品资料和可见状态的内部人员。
2000
wholesale_customers
登录后每天浏览SKU、查看商品详情并维护个人选品清单的批发客户。

COST BREAKDOWN

How your requirements become a plan and a price

Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out. The numbers in the 'Project demand' column below — their scale assumptions and derivations — are detailed in Scale & sizing

Minimum viable plan
BASIC
持续运营的批发目录需要多流程、长期发布和专业品牌展示
See the capability-by-capability assessment ▾
ITEM NAME
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
COVERAGE
AMOUNT
AI points add-on
x 0
0 points
not purchased
(plan/kit 1.0M points)
No requirement
$ 0
Outbound data transfer add-on
x 2
977.77 GB/mo
500GB × 2/month
(plan/kit 2.00 GB/mo + add-on +975.77 GB/mo)
Add-on fills +975.77 GB/mo gap beyond plan/kit
$ 70
Object storage add-on
x 1
2.92 GB
100GB × 1/year, amortized monthly
(plan/kit 2.00 GB + add-on +918.40 MB)
Add-on fills +918.40 MB gap beyond plan/kit
$ 2.92
Database storage add-on
x 0
119.97 MB
not purchased
(plan/kit 200.00 MB)
Covered by plan/kit (margin ~67%)
$ 0
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 5 req/s)
Covered by plan/kit (margin ~400%)
$ 0
Basic
x 1
Basic is the minimum viable plan
Basic
(Plan tier: BASIC)
See minimum viable plan above
$ 39
Monthly total
plan + add-ons · usage-based · no development cost
$111.92
/ mo

WHY MOMEN

Your options for this project

In the table below, the 'monthly infrastructure' for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage. Figures cover infrastructure and operations only — AI usage is billed separately and excluded here, so they don't match the $111.92/mo all-in above.

Current usage sizing
AWS list pricing
810.62 GB (first 100GB free)
Internet egress → 72.96
2.92 GB-month
S3 Standard → 0.07
0.12 GB-month
RDS gp3 storage → 0.01
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
2 × t4g.large × 730h
EC2 t4g.large → 98.11
Total ≈ $403.29 / mo
Pure cloud resources
ROUTE
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
TIME TO LAUNCH
CUSTOMIZATION
Traditional outsourcing / build in-house
about $85,000 - $145,000
≈ $403
Based on the AWS estimate above
≈ $2,403
Infra $403 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $12,000 - $22,000
≈ $403
Based on the AWS estimate above
≈ $1,903
Infra $403 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $5,000 - $9,000
≈ $403
Based on the AWS estimate above
≈ $1,903
Infra $403 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
$0
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$0
$112
All-in: egress / storage / auto-scaling; excludes AI usage
$112
hours
5 / 5
Infrastructure cost is unavoidable
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $403.29/mo at AWS list prices, often more), on top of the dev and ops staff you'd need to hire. Momen bundles all of it into $0/mo all-in and removes the need for an ops team.
Vibe-coding speed + a production-grade backend
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.

SCALE & SIZING

What scale this estimate assumes, and how the numbers are derived

Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation

2005
Total users
我们假设系统包含用户明确给出的2000个批发客户账户,并需要少量目录管理员维护一万个SKU,因为没有后台维护角色就无法形成商品数据的创建与浏览闭环。这里采用5个管理员账户作为小型批发团队的典型配置,因此稳定运行时按2005个注册账户建模;如果管理员人数已经包含在2000人内,该参数可以调整。
365
Data retention period
我们假设该网站上线时会带入现有的约一万个SKU和两千个批发客户,因为这更像成熟批发业务的数字化目录,而不是从零积累的新产品。按带有完整既有数据的上线方式,使用完整年度的数据积累窗口较为典型;如果实际是从零冷启动,等效天数可以相应调低。
Core business scenarios
Daily Customer Catalog Browsing
Daily Customer Catalog Browsing
Daily Customer Catalog Browsing
Daily Customer Catalog Browsing
30
times/month
0.36 req/s
Peak load
We assume catalog browsing is spread across an eight-hour business day because buyers enter according to their own purchasing schedules rather than a shared external signal. The scenario occurs every calendar day because the project states that customers browse daily. Category navigation, catalog filtering and product-detail inspection are separated into distinct purposes because each represents a different user intention and has a different participation level. If the business operates only on weekdays or has a narrow ordering rush, the frequency and duration can be adjusted accordingly.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation derived from them. Click to expand each item.
Peak Concurrency
0.36 req/s
Database Storage
114.41 MB
Object Storage
2.72 GB
Outbound data transfer
910.62 GB
AI Points
0 AI Points

DEVELOPMENT SCOPE

How this app works

What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI assistant behind each one

catalog_managers
maintain_product_catalog
目录管理员加载现有SKU目录,并新增或更新商品资料。
page
Product Catalog Page
data_table
users
catalog_managers
maintain_product_categories
目录管理员查看、创建并维护商品分类。
page
Product Catalog Page
data_table
users
wholesale_customers
remove_selection_item
客户复查自己的选品清单并移除不再需要的SKU。
page
Product Catalog Page
data_table
users
wholesale_customers
save_and_review_selection
客户从商品详情保存SKU,然后查看选品清单并调整意向数量。
page
Product Catalog Page
data_table
users
wholesale_customers
browse_wholesale_catalog
批发客户进入目录,筛选SKU并打开感兴趣商品的详情。
page
Product Catalog Page
data_table
users
page
data_table
Catalog Management Page
供内部目录管理员维护商品分类、SKU资料、主图和可见状态。
Selection List Page
展示并维护当前批发客户的个人选品结果。
Product Detail Page
展示单个SKU的批发资料,并允许客户将其加入选品清单。
Product Catalog Page
供批发客户按分类、名称或SKU浏览商品目录。

FAQ

What you might want to know about this project

The Q&A below is generated by AI based on this project's type, features and scale

商品图片大小会影响资源估算吗?
客户选品后能否直接下单付款?
一万个SKU是否需要单独的商品搜索服务?
这个网站最主要的资源消耗来自哪里?
Made and hosted in the United States. 🇺🇸
Backed By
Sequoia
MiraclePlus
Linear Capital
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