Urjasoft - Software, AI & SaaS Engineering
Representative engineering case study This case study presents a generalized engineering scenario based on the solution domain and capabilities represented in our portfolio. Client identities, confidential implementation details, and commercially sensitive information are intentionally omitted.
Web Platforms United States • Year 2020

Designing a Targeted Promotional Sampling & Campaign Platform

Constructing an interactive product discovery portal managing promotional sampling campaigns, demographic cohort allocation, and feedback loops.

Domain Web Platforms
Deployment Geography United States
Primary Discipline Web Applications
Delivery Status Representative Architecture

01. Context & Objectives

Consumer brands run targeted sampling programs to introduce new formulations to interested cohorts and collect structured qualitative feedback.
Architectural Mandate

Ensure fair sample distribution per household, manage regional sample inventory quotas, and capture structured post-sampling survey feedback.

02. The Architectural Challenge

Scaling Constraints & Critical Bottlenecks

Preventing duplicate sample claims across consumer accounts and managing surge traffic during social campaign announcements.

High-volume campaign launches create instantaneous concurrency spikes that risk depleting promotional quotas past available stock.

03. Engineering Approach & System Design

Decoupled Architecture & Execution Strategy

Implemented address deduplication heuristics, Redis-based rate limiting on campaign claims, and asynchronous survey ingestion pipelines.

System Data Flow Topology
Stages: •

Campaign Portal -> Rate Limit & Deduplication Gate -> Sampling Quota Manager -> Fulfillment Dispatch Feed -> Survey & Feedback Collector.

STAGE 01
Campaign Portal
Processing →
STAGE 02
Rate Limit & Deduplication Gate
Awaiting Ingress →
STAGE 03
Sampling Quota Manager
Awaiting Ingress →
STAGE 04
Fulfillment Dispatch Feed
Awaiting Ingress →
STAGE 05
Survey & Feedback Collector.
Awaiting Ingress
Deterministic isolation between ingestion ingress and persistence storage.

04. Implementation & Key Deliverables

What Urjasoft Built & Deployed

Engineered a promotional sampling platform featuring campaign quota enforcement, claim deduplication, and structured consumer review collection.

Atomic Redis increment operations enforce strict per-campaign quotas without database race conditions during traffic surges.
Implementation Details

Created dynamic sampling campaign landing pages, automated quota exhaustion indicators, and aggregate rating collection components.

05. Architectural Deliverables & System Properties

Engineered System Properties & Deliverables

Core structural mechanisms, concurrency guarantees, and system invariants established and deployed for this architecture.

Property 01 Delivered
Quota Enforcement
Real-Time Redis Counter
Invariant Architecture Pattern
Property 02 Delivered
Claim Verification
Multi-Field Deduplication
Invariant Architecture Pattern
Property 03 Delivered
Feedback Architecture
Structured Ingestion
Invariant Architecture Pattern
Architectural Tenet / Key Takeaway

“Enforcing claim deduplication at the boundary protects promotional inventory and ensures samples reach diverse consumer cohorts.”

Cross-Discipline Proof

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Engineering Collaboration

Building a system with similar architecture?

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