AIAI/Data

AI Sales Briefing App — From Data Collection to Mobile

A system that automatically collects store operating data and has AI summarize it into a sales briefing every morning — built end to end, from the data pipeline to the mobile app.

Client
Store Operator Client
Duration
2+ months
Cost
15M KRW+
Status
Completed

Tech Stack

FastAPIPostgreSQLpgvector (RAG)FlutterClaude APICelery/Redis

Project Overview

A store owner spending significant time reviewing their own store's operating data each day wanted AI to summarize it instead, delivered as a morning briefing. They asked for one system connecting data collection, AI summarization, and mobile notification.

Challenges

1

The core was making AI summarize the collected operating data meaningfully every day

2

It needed a briefing that points out "what changed since yesterday," not just statistics

3

Monthly AI usage costs had to stay within budget

Solutions

1

RAG-based briefing generation

Collected data is embedded as vectors so AI generates briefings that reference past context and highlight "what changed." We focused on summaries genuinely worth reading, not lists of numbers.

2

Operating-cost optimization

We designed prompt length and caching strategy so monthly AI usage fees stay within budget. Operating costs remaining within the predicted range months after delivery — that's what we treat as real completeness for an AI project.

3

Mobile app + push

We built iOS/Android apps to deliver the morning briefing as a push notification, letting the owner start the day from a single alert with no manual steps.

Key Features

Automatic data collection

Gathers store operating data automatically every day.

AI morning briefing

AI generates a daily summary highlighting changes versus yesterday.

Mobile push alerts

Receive the briefing directly via mobile app push.

Cost-predictable design

Designed so monthly AI usage fees stay within budget.

Project Results

We built the full pipeline connecting data collection, AI summarization, and mobile notification. The owner's time spent poring over data was replaced by a single morning briefing alert, and operating costs stay stable within the predicted range.

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