an AI-assisted customer service platform for e-commerce teams
Estimated monthly cost at the usage scale below — billed by actual usage
0.01 req/s
Peak Concurrency
364.21 MB
Database Storage
60 MB
Object Storage
What is this app
An e-commerce customer service platform designed for a small team of 2 agents handling 40 cases daily. The system automates 50% of the workload using AI that generates response proposals based on best-practice manuals, while maintaining a complete, searchable history of all customer interactions for quality and audit purposes.
As a customer, I can send messages to initiate a support case.
As a customer, I can view my past chat history to track issues.
As an agent, I can view active cases assigned to me in a dashboard.
As an agent, I can see AI-generated response proposals based on company manuals.
As an agent, I can send messages to customers to resolve their cases.
As an admin, I can upload e-commerce operating manuals to train the AI.
support_agents
Internal staff members who respond to customer inquiries and review AI proposals.
customers
E-commerce customers seeking assistance. They may browse history or start new chats.
administrators
Responsible for maintaining the knowledge base manuals.
Requirements to minimum viable plan to cost
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
FREE
Based on the empty project description and user stories provided in the database, no advanced features or commercial requirements were identified. The FREE plan is the default starting point for prototyping, though it includes a 24-hour expiration for public links and a limit of one API/Actionflow.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
FREE
Free
()
0
not purchased
()
0
Database storage add-on
10GB × 1/year, amortized monthly
()
8.33
Object storage
add-on
not purchased
()
0
Outbound data transfer add-on
not purchased
()
0
AI points add-on
not purchased
()
0
plan + add-ons · usage-based · no development cost
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.
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
0.38 GB-month
RDS gp3 storage → 0.04
0.06 GB-month
S3 Standard → 0
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.3 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $330
Per AWS usage sizing above
≈ $2330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $330
Per AWS usage sizing above
≈ $1830
Infra $330 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $330
Per AWS usage sizing above
≈ $1830
Infra $330 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
N/A
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$8
All-in: egress / storage / auto-scaling included
$8
hours
5 / 5
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 ≈ $441/mo at AWS list prices, often more), plus the extra dev and ops staff. Momen bundles all of it into $368/mo all-in and removes the need for an ops team.
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.
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.
Based on 40 cases per day and assuming most customers are unique or return occasionally over a year, we estimate a pool of approximately 5,000 registered customers, plus the 2 internal agents and 1 administrator.
This is a standard e-commerce support tool where data (cases and messages) accumulates linearly as customers interact with the brand. 225 days represents a stable operating environment for a SaaS-like internal tool.
Standard Support Operating Hours
Knowledge Base Maintenance Window
30
times/month
We assume a 12-hour daily window (43,200 seconds) covering standard business hours when both customers are active and agents are online. This happens daily (30 times/month). This period captures the majority of the 40 cases per day mentioned in the project description.
Main impact:
The scenarios above set the assumptions for each resource; below is the full calculation based on those assumptions. Click to expand each item.
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.
The process of a customer opening a chat and interacting with the service.
The daily routine of an agent managing and responding to cases.
page
data_table
ai_agent
action_flow
Customer Chat View
A chat interface for customers to interact with support.
Agent Workspace
A management dashboard for agents to handle tickets.
Knowledge Base Management
A page for admins to manage best-practice documents.
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.
How does the daily case volume affect resource consumption?
Where does the AI get its information from?
Copy to discuss with AI
Challenge & re-estimate