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CASE STUDY

How TheKiddoSpace Saves 30 Plus Hours Every Week With A Unified Commerce Data Platform

June 16, 2026By Syed Noman
image showing the complete architecture behind an ETL pipeline that serves a multi million dollar ecommerce store

TheKiddoSpace is a fast growing ecommerce brand that empowers parents through innovative and educational products, serving more than 200,000 customers with arts, crafts and customizable items.

They sell through multiple Amazon marketplaces and a portfolio of Shopify stores, supported by Amazon Ads and Facebook Ads campaigns.

The Business Problem

As TheKiddoSpace scaled, their data and financial workflows became increasingly fragmented across platforms:

  • Amazon seller accounts producing complex settlement and financial reports.
  • Multiple Amazon Ads profiles generating performance reports with strict rate limits and asynchronous workflows.
  • A growing network of Shopify stores, each with its own tax rules and order data structures.
  • Facebook Ads campaigns producing large volumes of performance data with frequent changes.

Most of this data had to be:

  • Manually exported, cleaned and merged in spreadsheets.
  • Interpreted and reconciled by the finance and marketing teams on a daily and weekly basis.

This led to several pain points for the founders:

  • 20 plus hours of repetitive manual reporting and reconciliation work every week across finance and marketing.
  • Slow and stressful month end close, with delayed visibility into true profitability.
  • Difficulty getting a single, reliable view of performance across Amazon, Shopify and paid media.

The business needed a unified, automated way to collect, clean and connect data from all these platforms, so that leaders could make fast, confident decisions based on accurate numbers.

The Vision

The joint vision with TheKiddoSpace leadership was to create a commerce data platform that:

  • Automatically pulls data from every key system Amazon, Shopify and Facebook Ads.
  • Applies consistent business logic and financial rules across all channels.
  • Delivers clean, standardized datasets to their accounting tools and analytics dashboards.
  • Scales with the brand without adding more manual work or headcount.

Agentic Agency designed and implemented this vision as a suite of specialized services that work together as one integrated solution.

Pillar 1: Amazon Financial Reconciliation Service

To handle the complexity of Amazon settlements, we built a dedicated financial reconciliation service that integrates deeply with the Amazon Seller Partner (SP) API.

This service:

  • Fetches all required financial and sales reports from Amazon automatically.
  • Uses an asynchronous task manager to handle long running report generation in the background.
  • Parses non standard, tab delimited settlement files into clean, structured JSON.
  • Applies business rules to map every fee, refund and adjustment to the correct accounting categories.
  • Delivers reconciled financial data to accounting software or the data warehouse via secure webhooks.

Impact for TheKiddoSpace:

  • Replaced a manual process that previously took 6 to 8 hours every week.
  • Significantly accelerated the financial closing process and reduced the risk of human error in reporting.

This became the Amazon layer of the unified platform.

Pillar 2: Enterprise Amazon Ads Reporting Platform

For advertising on Amazon, the brand manages 20 global Amazon Ads profiles with strict API rate limits and asynchronous report generation.

We architected a highly scalable Amazon Ads reporting platform that:

  • Automates the workflow of request, poll and download for reports with exponential backoff for retries.
  • Uses an intelligent, priority based queue system to manage a high volume of report requests across profiles.
  • Exposes a REST API and CLI so the marketing team and automation tools like n8n or Zapier can trigger and control reporting flows.

Impact for TheKiddoSpace:

  • Enabled a reporting capability that is manually impossible at this scale.
  • Saved an estimated 5 to 7 hours of manual work every day for the marketing team.
  • Provided the foundational data source for all global Amazon advertising analytics.

In the unified platform, Amazon Ads data is standardized and fed into the same analytics environment as finance and Shopify data.

Pillar 3: Multi Store Shopify Financial Reporting And Analytics

TheKiddoSpace operates multiple Shopify stores, each with its own tax settings and order flows. Initially, financial reporting relied on error prone spreadsheets and manual aggregation.

We built a cloud based ETL service for Shopify that:

  • Connects to multiple Shopify stores to extract raw order data.
  • Iterates through every line item of every order to calculate net sales, taxes and discounts according to agreed business rules.
  • Handles different tax configurations, such as inclusive and exclusive tax per store, to ensure financial accuracy.
  • Delivers an aggregated, analytics ready financial report to a webhook for real time dashboard updates.

Impact for TheKiddoSpace:

  • Saved 7.5 hours of daily work for a 10 store operation.
  • Provided daily, accurate financial insights across all Shopify stores.
  • Enabled faster, better informed decisions on pricing, promotions and inventory.

This became the Shopify finance layer of the unified platform that aligns directly with Amazon financial data.

Pillar 4: Scalable Shopify Data Extractor For Large Scale Jobs

As their portfolio grew beyond 30 Shopify stores, the brand needed to run custom, large scale data extractions without overloading API servers or timeouts.

We designed a two part, cloud native Shopify data extractor that:

  • Uses a lightweight Flask API trigger service to accept and manage extraction requests.
  • Offloads the heavy data extraction work to containerized Cloud Run Jobs that can scale independently.
  • Keeps the API responsive while long running jobs execute reliably in the background.
  • Supports virtually unlimited growth in stores and data volume with minimal operational overhead.

Impact for TheKiddoSpace:

  • Automated a process that previously took 4 to 6 hours of manual work per day.
  • Made it possible to run large, custom analytics jobs across 30 plus stores without blocking core systems.

This deepened the Shopify data layer of the unified platform and ensured it remains scalable as the brand expands.

Pillar 5: Facebook Ads ETL Service

To complete the omnichannel view, we built a production ready ETL service for the Facebook Ads API that centralizes performance data for all Facebook campaigns.

This service:

  • Is implemented as a secure Flask application with API key authentication.
  • Handles API pagination to fetch complete datasets without gaps.
  • Uses structured logging and Prometheus monitoring for high observability.
  • Delivers clean, structured JSON performance data to webhooks that feed n8n, dashboards and data warehouses.

Impact for TheKiddoSpace:

  • Saved 1 to 5 hours of daily manual reporting for the marketing team.
  • Standardized Facebook advertising data so it can be compared directly with Amazon Ads and Shopify performance.

This created the Facebook layer of the unified platform and enabled cross channel advertising analytics.

How Everything Connects As One Platform

Individually, each of these services solves a specific pain:

  • Amazon financial reconciliation.
  • Amazon Ads reporting.
  • Shopify financial reporting and large scale data extraction.
  • Facebook Ads performance ETL.

Together, they form a unified commerce data platform for TheKiddoSpace:

  • All services output clean, structured JSON and deliver it via webhooks into the same accounting systems and data warehouse.
  • Shared business rules ensure that revenue, costs, taxes and discounts are interpreted consistently across Amazon and Shopify.
  • Ad performance data from Amazon Ads and Facebook Ads is aligned with sales data so metrics like ROAS and CAC can be tied directly to actual revenue and profit.

For the founders and leadership team, this means:

  • A single source of truth for financial and marketing performance across all channels.
  • Near real time visibility into profitability by product, store, marketplace and campaign.
  • Decisions based on reliable, automatically updated numbers instead of manual spreadsheets.

Technical Foundation (For Your CTO Or Ops Lead)

Although the case study is written for business owners, the platform is engineered on a robust, modern stack:

  • Python and Flask for API and service layers across all components.
  • Deep integrations with Amazon Seller Partner API, Amazon Ads API, Shopify API and Facebook Ads API.
  • Asynchronous task management, priority based queues and containerized Cloud Run Jobs for long running and high volume tasks.
  • Webhook based delivery into accounting software, ETL pipelines and analytics tools like n8n or custom dashboards.
  • Observability through structured logging and Prometheus monitoring for the Facebook ETL service.

This architecture makes the solution production ready, maintainable and extensible to future platforms or reporting needs.

Outcomes For TheKiddoSpace

Across all services, TheKiddoSpace achieved:

  • Many hours of manual work eliminated every week across finance and marketing through automation of Amazon, Shopify and Facebook reporting and reconciliation.
  • Faster month end close and more accurate financial statements.
  • A unified, always up to date view of sales, costs and advertising performance across all major channels.
  • The ability to grow store count, ad spend and marketplaces without proportional increases in operational workload.

Most importantly for the founders, the platform turned scattered data into a strategic asset that supports faster, more confident decisions.

Applying This To Your Business

If you are a founder or business owner who sells through multiple ecommerce platforms and ad networks, this case illustrates that you can:

  • Replace fragile, spreadsheet based workflows with a unified data platform tailored to your stack.
  • Give your finance and marketing teams reliable, automated data instead of repetitive manual exports.
  • Gain a real time, accurate view of the health of your business across Amazon, Shopify and paid media.

Agentic Agency can adapt the same architecture and approach to your specific tools, reporting needs and growth plans.

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