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Rankifytech

Data & Intelligence

Unified E-Commerce Analytics for Real-Time Contribution Margin Clarity

We connect fragmented seller portals, ad consoles, and storefront platforms into a single operational dashboard, delivering true SKU-level contribution margins, inventory cover signals, and actionable commercial insights.

Target Audience

Who This Is For

This service is built for multi-channel brand founders, chief financial officers, and commercial directors who sell across Amazon India, Flipkart, quick commerce, and direct-to-consumer storefronts.

It is engineered for leadership teams trapped in weekly spreadsheet chaos, spending valuable operational hours manually reconciling sales reports, ad statements, and platform deduction sheets.

Diagnostic Findings

Data Blindspots That Compromise Profitability

Selling across multiple e-commerce channels without unified data pipelines leads to delayed decision-making and hidden profit leakage.

Fragmented Data Silos Across Multiple Seller Portals

Operating across Amazon Seller Central, Flipkart Hub, quick commerce vendor portals, and Shopify forces teams to stitch together disparate CSV exports manually.

Inability to Calculate Real SKU-Level Contribution Margins

Platform deduction fees, return logistics costs, and advertising spend are often tracked at aggregate levels, masking unprofitable hero products.

Delayed Weekly Reporting That Prevents Timely Action

Compiling manual spreadsheets takes days, meaning commercial leadership reviews operational performance long after critical stockouts or margin leaks have occurred.

Inventory Blindspots Across Warehouses and Dark Stores

Lacking real-time visibility into days of cover across regional fulfillment centers leads to unexpected stockouts on high-margin items alongside aged inventory buildup.

Unverified Platform Commission and Deduction Discrepancies

Marketplace deduction errors, weight tier miscalculations, and unreturned customer units quietly drain capital without automated audit flags.

Execution Activities

Our E-Commerce Analytics Framework

We deploy robust data extraction pipelines, automated validation checks, and clear executive dashboards tailored to multi-channel commerce.

01

Automated Multi-Channel Data Connectors and Ingestion

We connect direct API pipelines and scheduled data ingestion workflows across Amazon India, Flipkart, quick commerce platforms, Shopify, and ad consoles.

02

True SKU-Level P&L and Margin Modeling

We combine product manufacturing costs, platform commissions, packaging expenses, shipping charges, and ad spend into an accurate SKU-level contribution margin view.

03

Executive and Channel Dashboards

We build interactive executive dashboards that provide commercial leadership with live revenue, order volume, return rate, and margin metrics at a glance.

04

Inventory Velocity and Days-of-Cover Signals

We establish automated inventory burn-rate tracking that calculates days of cover per SKU, triggering replenishment alerts before stockouts occur.

05

Return and Cancellation Root-Cause Analytics

We analyze customer return defect codes, courier cancellation patterns, and RTO trends to isolate problematic SKUs and geographic regions.

06

Automated Anomaly Detection and Daily Exception Alerts

We configure automated alerts that notify operations teams of sudden Buy Box losses, unexpected listing suppressions, or conversion rate anomalies.

Deliverables

Tangible Deliverables You Receive

Our analytics engagement delivers functional data infrastructure, live executive dashboards, and ongoing commercial reviews.

Unified Multi-Channel Data Architecture

A centralized, documented data schema connecting sales, logistics, returns, and marketing performance across all your active selling channels.

Live Executive Commercial Dashboard

An interactive dashboard displaying revenue, gross margin, realized settlement cash flow, and advertising spend updated on a daily cadence.

SKU-Level Profitability and Cost Matrix

An itemized matrix breaking down landed costs, platform fees, return allowances, and net contribution margin for every active catalog item.

Inventory Replenishment and Days-of-Cover Planner

An operational forecasting sheet calculating stock velocity, reorder lead times, and required regional warehouse buffer quantities.

Weekly Strategic Data Insights Briefing

A structured weekly briefing highlighting emerging margin anomalies, high-return SKUs, and immediate capital allocation recommendations.

Engagement Model

How Our Engagement Runs

Our structured cadence ensures complete transparency and accountability.

01

Discovery Call & Data Audit

We audit your active seller accounts, spreadsheet workflows, accounting sheets, and historical reporting lag times. We aim to reply within 1 business day.

02

Data Architecture & Dashboard Plan

We design a unified data model, configure automated extraction pipelines, and map out customized SKU contribution margin views.

03

Weekly Action & Insights Reviews

We maintain automated data feeds, surface real-time margin alerts, track inventory replenishment needs, and conduct weekly operational reviews.

Honest Boundaries

Our Operational Limits

We set realistic expectations from day one about our agency capabilities and boundaries.

No Assured Profit Multipliers Through Data Alone

We do not promise assured business profit simply through analytics implementation; data provides clarity for managerial decisions, which leadership must execute.

No Proprietary ERP Software Replacements

We build focused e-commerce intelligence dashboards and automated data pipelines; we do not build custom ERP software replacements or conduct manual warehouse barcode scans.

No Creative Advertising Asset Production

We measure advertising efficiency, TACOS metrics, and attribution models; we do not provide studio product photography or graphic design services in this scope.

Questions & Answers

Frequently Asked Questions

Specific details regarding how this solution is deployed and measured.

Marketplace seller portals present isolated, channel-specific numbers that omit true landed costs, cross-channel returns, and blended advertising spend. Our unified analytics consolidate these silos into real contribution margin views.

We integrate through read-only API access tokens and report viewing permissions on your seller accounts and ad consoles, ensuring your core account credentials remain fully protected.

Data pipelines typically update on an automated daily schedule, with critical operational metrics like Buy Box status and ad spend tracking on near-real-time cadences.

Yes. Our models factor in customer return defect costs, reverse logistics fees, and marketplace commission deduction slabs to present accurate net cash realization figures.

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