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CASE STUDY · SAAS

An Analytics Platform
that cut decision time by 87%.

A mid-sized E-Commerce company using 5 different Analytics tools. Decision time: 2 hours every morning. We delivered one Dashboard. Decision time became 15 minutes.

SAAS·DASH
ClientMid-sized E-Commerce
IndustryE-Commerce / Retail
Duration6 weeks
ServicesCode + UI/UX

01 / ContextClient & situation

A UAE-based E-Commerce company selling Lifestyle products, with 80,000 customers and 12,000 SKUs. The CEO spent 2 hours every morning gathering numbers from 5 different tools (Shopify, Google Analytics, Meta Ads, Email Provider, and Excel) to make daily decisions.

02 / ChallengeWhat we faced

The problem isn't the tools — each does its job well. The problem is Fragmentation:

03 / ApproachHow we handled it

Split the work into 3 Phases:

04 / SolutionWhat we built

One Dashboard, just 4 screens:

Each screen answers one question. No complex charts, no excessive filters. The CEO comes in every morning, glances for 15 minutes, knows everything he needs.

05 / ResultsReal numbers

87%Reduction in daily decision time
2h→15mFrom 2 hours each morning to 15 minutes
+34%ROAS increase from faster decisions
Before working with Bashmobarmeg, we were losing opportunities daily because information was late. Now decisions happen in the morning, execution by noon, results by night. — Founder @ E-COMMERCE·MENA

06 / Tech StackWhat we used

Frontend: Next.js + TypeScript + Tailwind CSS + Recharts for Visualizations.

Backend: Node.js + Express + PostgreSQL + Redis (for Real-time caching).

Integrations: Shopify API, Google Analytics 4, Meta Marketing API, SendGrid, Klaviyo.

Infrastructure: Vercel for Frontend + AWS Lambda for Background jobs.

07 / What's nextThe road ahead

We're now working on Phase 2: adding AI Insights — the Dashboard suggests Actions to the CEO ("This Product's sales dropped 20% this week, stock available, worth a Promotion"). We're also turning the product into a SaaS that other E-Commerce companies can use.

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