System Requirements Document

1. Introduction

This document outlines the system requirements for an AI-powered brand growth intelligence platform designed to support consumer brands in the quick commerce and e-commerce sectors. The platform provides real-time insights and actionable intelligence to optimize brand performance across various digital channels.

2. System Overview

The platform is an AI-driven solution that consolidates data from multiple sources to provide brand teams with a comprehensive view of their digital commerce operations. It addresses key challenges such as fragmented data, delayed insights, and manual execution by offering automated, prioritized actions to enhance revenue and growth.

3. Functional Requirements

Edge — Revenue Leak Detection & Sales Intelligence

• As a brand manager, I want to see a ranked list of active revenue leaks quantified in INR per day, so that I can prioritize actions effectively.
• As a brand manager, I want the platform to monitor availability, pricing, search visibility, ad performance, and competitor activity simultaneously, so that I can receive a plain-English diagnosis and suggested next actions.
• As a brand manager, I want to view revenue leak categories such as stockouts, listing suppression, pricing misalignment, ad budget exhaustion, share-of-search rank drops, visibility loss, and return rate spikes, so that I can address them promptly.
• As a brand manager, I want a daily briefing view that provides a complete brand health assessment in under 60 seconds, so that I can start my day with actionable insights.

Boost — AI Ad Automation Agent

• As a brand manager, I want Boost to automatically pause or reduce ad spend when inventory falls below a threshold, so that I can eliminate wasted media spend.
• As a brand manager, I want Boost to reduce or eliminate sponsored spend on keywords where my SKU already ranks in the top two positions organically, so that I can protect margins.
• As a brand manager, I want Boost to optimize bids based on peak consumption hours, so that I can maximize ad efficiency.
• As a brand manager, I want Boost to perform keyword discovery, budget reallocation, and automatic bid increases based on live ROAS performance, so that I can enhance campaign effectiveness.

Flow — Supply Chain & Availability Intelligence

• As a supply chain manager, I want to track real-time stock levels per SKU, per platform, per city, and per dark store, so that I can manage inventory effectively.
• As a supply chain manager, I want to receive AI-powered purchase order recommendations based on demand forecasts, so that I can optimize stock levels.
• As a supply chain manager, I want to visualize stockout risks using a heatmap, so that I can address availability issues proactively.

Discover — Market Intelligence & Growth Opportunities

• As a brand manager, I want to identify category trends and white-space opportunities for assortment expansion and geographic growth, so that I can plan strategic initiatives.

Playbook — Growth Workflow Engine

• As a brand manager, I want to use pre-built scenario-based action plans for tasks like new SKU launches, stockout recovery, and market share attacks, so that I can execute strategies efficiently.
• As a brand manager, I want each Playbook step to have an assigned owner, due date, and live status, so that I can track progress and ensure accountability.

AI Copilot — Natural Language Query

• As a team member, I want to ask questions in plain English and receive structured, data-backed answers, so that I can access insights without navigating complex dashboards.

Data Coverage & Collection

• As a data analyst, I want the platform to collect data twice daily across 4,200+ dark stores, so that I can make informed decisions based on comprehensive data.
• As a data analyst, I want the platform to scrape data from QuickCommerce websites, so that I can ensure data completeness and accuracy.

Security, Privacy & Compliance

• As a security officer, I want all data in transit to be encrypted with TLS 1.3 and data at rest with AES-256, so that I can ensure data security.
• As a compliance officer, I want the platform to meet SOC 2 Type II and ISO 27001 standards, so that I can assure enterprise-level compliance.

4. User Personas

• Brand Manager: Responsible for overseeing brand performance and executing growth strategies.
• Supply Chain Manager: Manages inventory levels and supply chain logistics.
• Data Analyst: Analyzes data to provide insights and support decision-making.
• Security Officer: Ensures data security and compliance with industry standards.

5. Core User Flows

• Revenue Leak Detection: Brand manager logs in, views ranked revenue leaks, and takes action based on AI-generated suggestions.
• Ad Automation: Brand manager sets ad spend thresholds, and Boost autonomously adjusts campaigns based on inventory and performance data.
• Supply Chain Management: Supply chain manager monitors stock levels and receives purchase order recommendations to prevent stockouts.
• Market Intelligence: Brand manager explores growth opportunities using Discover to identify trends and white-space opportunities.

6. Visuals Colors and Theme

• Professional blues and teals to convey trust and reliability, suitable for a business intelligence platform.

7. Signature Design Concept

• Clean, data-driven interface with an emphasis on clarity and actionable insights.

8. Interaction Model & Motion Direction

• Intuitive, responsive design with smooth transitions and clear feedback for user actions.

9. Non-Functional Requirements

• Performance: System uptime of 99.9% with multi-AZ deployment and automated failover.
• Scalability: Supports multi-tenancy with data isolation for each brand.
• Latency: API response latency under 200 milliseconds; natural language query response under 8 seconds.

10. Tech Stack

• Frontend: React.js
• Backend: Python + FastAPI
• Database: MySQL with Alembic migrations

11. Assumptions and Constraints

• The platform must integrate with existing ERP systems and support data uploads via Google Sheets.
• Compliance with GDPR and PDPB is mandatory for handling Indian brand data.

12. Glossary

• Dark Store: A small urban warehouse used exclusively for fulfilling quick-commerce orders.
• DOI (Days of Inventory): Estimated days until a SKU goes out of stock at current sales velocity.
• SOV (Share of Voice): Percentage of keyword search impressions captured by a brand.
• Revenue Leak: Any detected condition actively costing a brand revenue.
• Q-Commerce: Quick Commerce: grocery and FMCG delivery in under 30 minutes via dark stores.