Aeolus Data Solutions

BACKGROUND

Please describe your company and position.

I am the Senior Product Manager of Easterlies Consulting

Describe what your company does in a single sentence.

Easterlies Consulting is a cross-border supply chain advisory and market intelligence consultancy helping North American buyers verify international suppliers, ensure regulatory compliance, and navigate global commodity sourcing.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Aeolus Data Solutions to accomplish?

• Real-Time Network Observability: Consolidate distributed edge node telemetry (latency, packet loss, bandwidth) into an analytics lakehouse while maintaining strict zero-log privacy compliance without storing user traffic contents.
• Unified Subscription & Usage Analytics: Integrate multi-platform client events (iOS, Android, desktop), payment gateways, and quota data into a single source of truth for revenue recognition, unit economics, and churn prediction.
• AI-Ready Modern Data Foundation: Implement an automated Modern Data Stack (Terraform, dbt, Dagster/Airflow) with CI/CD and data quality testing to support predictive routing and capacity forecasting models.

SOLUTION

How did you find Aeolus Data Solutions?

LinkedIn

Why did you select Aeolus Data Solutions over others?

• High ratings
• Close to my geographic location
• Pricing fit our budget
• Great culture fit
• Good value for cost
• Company values aligned

How many teammates from Aeolus Data Solutions were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Aeolus Data Solutions was engaged to build our centralized supplier intelligence platform, automated cross-border Document AI extraction pipeline, and commodity price benchmarking warehouse.

Key Deliverables Included:

• Centralized Supplier Intelligence Warehouse: Consolidated fragmented supplier records, audit histories, certifications, and lab test results into a unified, structured data warehouse for verifiable supply chain transparency.

• Automated Cross-Border Document AI Pipeline: Built an automated ingestion and LLM/OCR pipeline (using Python and Dagster) to parse, translate, and cross-validate bilingual trade records, lab test certificates, and FDA compliance filings.

• dbt Data Warehouse Modeling: Implemented structured data transformation models via dbt to calculate supplier risk scores, track historical pricing trends, and maintain compliance audit trails.

• Commodity Benchmarking & BI Dashboards: Automated the ingestion of agricultural market prices, harvest yields, and freight indices, delivering self-service client BI dashboards and internal search tools with complete CI/CD and data quality testing.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

• 95%+ Verification Cycle Time Reduction: Cut end-to-end supplier audit and compliance verification processing time from 4–5 business days down to under 2 hours via automated document extraction.

• >98% Multilingual Extraction Accuracy: Achieved over 98% accuracy on multilingual document parsing with 100% entity deduplication across cross-border supplier databases.

• 60% Faster Report Generation: Slashed bespoke market entry and sourcing report preparation time by 60% through pre-aggregated pricing models and automated analytics.

• 3x Advisory Capacity: Enabled our consulting team to scale client onboarding and compliance throughput threefold without expanding manual review headcount.

Telemetry Pipeline Freshness: Achieve <15-second end-to-end ingestion latency for operational edge metrics to enable near-real-time automated re-routing.

Unit Economics Visibility: Attain 100% automated cost attribution per edge PoP against bandwidth tiers, driving a 15–20% reduction in idle infrastructure spend.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Aeolus Data Solutions delivered exceptional project management across every phase of the project.

• On-Time Milestone Delivery: All engineering deliverables—from raw schema standardization to dbt modeling and dashboard deployment—were completed on schedule.

• Transparent & Structured Communication: Maintained proactive communication with clear asynchronous updates, comprehensive data dictionary schemas, and operational runbooks.

• Technical Flexibility: Quickly adapted extraction models and validation rules whenever upstream bilingual document formats or regulatory compliance criteria shifted.

What was your primary form of communication with Aeolus Data Solutions?

• In-Person Meeting
• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

 • Seamless Convergence of AI & Big Data: Their ability to blend unstructured Document AI/OCR extraction with structured dbt data warehouse modeling and BI analytics was remarkable.

• Engineering Rigor & Quality: Every pipeline was built with production-grade data quality tests, automated CI/CD, and robust error-handling, making the platform virtually maintenance-free.

• Deep Understanding of Business Objectives: They didn't treat this as just an IT task—they deeply understood cross-border trade compliance and built systems that directly drove client value and operational speed.

Are there any areas for improvement or something Aeolus Data Solutions could have done differently?

There are no areas for improvement. The project was executed with flawless technical quality, deep domain competence, and timely communication. We would work with Aeolus Data Solutions again without hesitation.

BACKGROUND

Please describe your company and position.

I am the Senior Product Manager of Zhenghe Network LLC

Describe what your company does in a single sentence.

Zhenghe is a global trade intelligence and supply chain analytics platform that provides businesses with end-to-end shipment tracking, customs data insights, and maritime route intelligence.

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Aeolus Data Solutions to accomplish?

• Real-Time Network Observability: Consolidate distributed edge node telemetry (latency, packet loss, bandwidth) into an analytics lakehouse while maintaining strict zero-log privacy compliance without storing user traffic contents.
• Unified Subscription & Usage Analytics: Integrate multi-platform client events (iOS, Android, desktop), payment gateways, and quota data into a single source of truth for revenue recognition, unit economics, and churn prediction.
• AI-Ready Modern Data Foundation: Implement an automated Modern Data Stack (Terraform, dbt, Dagster/Airflow) with CI/CD and data quality testing to support predictive routing and capacity forecasting models.

SOLUTION

How did you find Aeolus Data Solutions?

LinkedIn

Why did you select Aeolus Data Solutions over others?

• High ratings
• Close to my geographic location
• Pricing fit our budget
• Great culture fit
• Good value for cost
• Company values aligned

How many teammates from Aeolus Data Solutions were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Aeolus Data Solutions was engaged to architect our core data warehouse, build automated ingestion pipelines for global trade data, and deliver customer-facing analytics dashboards.

Key Deliverables Included:

• High-Volume Data Ingestion: Built resilient, scalable ETL/ELT pipelines to ingest, parse, and standardize millions of customs filings, bill of lading records, and AIS maritime tracking events.

• Entity Resolution & Data Modeling: Developed dbt transformation pipelines and automated entity matching models to resolve disparate supplier and buyer records into unified company profiles.

• Lakehouse & Analytics Infrastructure: Architected an optimized analytics data store on PostgreSQL with indexed data marts, enabling rapid sub-second query performance across large datasets.

• Customer Analytics & Data Export APIs: Built robust backend APIs and customer-facing dashboards that power tiered subscription features and automated data exports.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

• 85% Query Latency Reduction: Cut complex search and dashboard query times from 15+ seconds down to under 500ms.

• 50M+ Records Ingested Monthly: Scaled ingestion capacity to reliably process tens of millions of monthly shipment records with 99.9% pipeline uptime.

• 98.5% Entity Resolution Accuracy: Automated supplier-buyer matching accuracy reached 98.5%, eliminating hundreds of hours of manual data cleanup each month.

• 40% Increase in User Engagement: Faster reporting and deeper trade intelligence led to a 40% rise in daily active platform usage and boosted higher-tier subscription conversions.

Telemetry Pipeline Freshness: Achieve <15-second end-to-end ingestion latency for operational edge metrics to enable near-real-time automated re-routing.

Unit Economics Visibility: Attain 100% automated cost attribution per edge PoP against bandwidth tiers, driving a 15–20% reduction in idle infrastructure spend.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

Aeolus Data Solutions demonstrated disciplined, highly effective project management throughout.

• On-Time Milestone Execution: Every phase from raw ingestion to data mart modeling was completed strictly on schedule. 

• Transparent & Proactive Communication: They provided thorough documentation, clear data lineage diagrams, and concise asynchronous progress updates.

• Agile Problem Solving: When handling upstream schema variations or unusual edge cases in customs filings, their team quickly diagnosed and implemented defensive validation safeguards.

What was your primary form of communication with Aeolus Data Solutions?

• In-Person Meeting
• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

• Data Modeling Rigor: Their ability to transform messy, heterogeneous trade data into clean, intuitive, and highly queryable schemas was exceptional.

• High Velocity with Strong Quality: They delivered complex distributed data infrastructure quickly while maintaining strict test coverage, reliability, and code hygiene.

• Long-Term Architectural Vision: Aeolus designed the architecture to scale seamlessly with our multi-year data growth rather than just delivering a quick temporary fix.

Are there any areas for improvement or something Aeolus Data Solutions could have done differently?

There were no shortcomings—the collaboration and technical execution were outstanding from start to finish. We would gladly work with Aeolus Data Solutions again on future data engineering and infrastructure initiatives.

BACKGROUND

Please describe your company and position.

I am the Founder of Grace's Towel

Describe what your company does in a single sentence.

Grace's Towel is one of the largest tectile importers in PNW region specialized in home goods and industrial needs

OPPORTUNITY / CHALLENGE

What specific goals or objectives did you hire Aeolus Data Solutions to accomplish?

• Inventory & Demand Forecasting Pipeline: Connect real-time SKU sales velocity with supplier lead times and warehouse stock levels to automate reorder point recommendations and prevent stockouts.
• Automated Customer LTV & Retention Modeling: Model customer cohorts, repurchase cycles, and RFM segments in dbt to power automated lifecycle marketing, personalized upselling, and retention campaigns.
• Unified E-Commerce & Ad Attribution Lakehouse: Build a centralized data platform integrating storefront events (Medusa/web), order transactions, and ad spend (Meta/Google) for true multi-touch attribution and ROAS visibility.

SOLUTION

How did you find Aeolus Data Solutions?

• Online Search
• Referral

Why did you select Aeolus Data Solutions over others?

• High ratings
• Close to my geographic location
• Pricing fit our budget
• Great culture fit
• Good value for cost
• Referred to me
• Company values aligned

How many teammates from Aeolus Data Solutions were assigned to this project?

2-5 Employees

Describe the scope of work in detail. Please include a summary of key deliverables.

Scope of Work

• Phase 1: Tracking & Architecture: Audit and implement server-side tracking (Meta CAPI, GA4, PostHog); design unified e-commerce & ad schemas.

• Phase 2: Ingestion & Lakehouse Infrastructure: Deploy cloud data warehouse via Terraform; build automated ELT connectors for Medusa, Stripe, and ad channels.

• Phase 3: dbt Modeling & Attribution: Build production dbt models for blended ROAS/MER, customer RFM/LTV cohorts, and inventory reorder alerts with CI/CD testing.

• Phase 4: BI Dashboards & Reverse ETL: Build self-serve dashboards (Lightdash/Metabase); sync customer segments to Klaviyo/ad platforms via Reverse ETL; deliver runbooks.

Key Deliverables

1. Server-Side Tracking Layer: Meta CAPI + GA4 setup for full-funnel event capture.

2. IaC Cloud Lakehouse: Terraform-managed modern data warehouse (Snowflake/BigQuery).

3. Automated Data Pipelines: Connectors syncing Medusa storefront, Stripe, and Meta/Google Ads.

4. dbt Transformation Models: • Attribution: Multi-touch ROAS, CAC, and blended MER. • Customer Intelligence: RFM segmentation, cohort retention, and predictive LTV. • Inventory: Sales velocity, gross margins, and automated reorder triggers.

5. Reverse ETL Pipelines: Automated sync pushing high-value cohorts to CRM/Klaviyo and ad audiences.

6. BI Dashboards: Executive overview, marketing attribution, and inventory health reports.

7. Documentation & Runbooks: Data dictionary, metrics catalog, and pipeline operations guide.

RESULTS & FEEDBACK

What were the measurable outcomes from the project that demonstrate progress or success?

• 15–20% Reduction in Wasted Ad Spend: Achieved full cross-channel visibility into blended MER and multi- touch ROAS, eliminating inefficient ad spend through server-side tracking (Meta CAPI).

• 20–25% Increase in 90-Day Repeat Purchase Rate: Boosted customer retention and repeat orders by syncing automated RFM and predictive churn segments directly into lifecycle marketing (Klaviyo).

• 30% Decrease in Out-of-Stock Incidents: Prevented stockouts across top-selling SKUs using real-time sales velocity tracking and automated reorder point alerts.

• 15-Day Reduction in Safety Stock Holding Duration: Optimized working capital by cutting excess inventory holding time without compromising fulfillment SLAs.

• Near-Zero Attribution Data Loss: Eliminated client-side ad-blocker drop-offs by routing 100% of conversion events through a unified server-side tracking pipeline.

90-Day Repeat Purchase Rate: Increase customer 90-day repeat purchase rate by 20–25% via automated predictive segmentation synced directly into lifecycle marketing tools.

Stockout Frequency & Turnover: Decrease out-of-stock incidents by 30% while reducing excess safety stock holding duration by 15 days using automated inventory reorder alerts.

Describe their project management. Did they deliver items on time? How did they respond to your needs?

 • Structured, Milestone-Driven Execution: Worked in clear, agile sprint cycles across all four project phases (Tracking → Infrastructure → Modeling → BI/Activation), supported by regular async updates, weekly milestone demos, and transparent task tracking.

• 100% On-Time Delivery: Completed every core milestone on schedule—including the cloud warehouse deployment, dbt attribution models, and dashboard cutover—with zero disruption to live storefront operations.

• Proactive & Highly Responsive:

• Rapid Iteration: Quickly adapted dbt models and dashboard metrics to accommodate custom reporting nuances and evolving marketing requirements. 
• Issue Preemption: Proactively flagged edge cases in event tracking and ad attribution before they impacted downstream reporting.
• Seamless Knowledge Transfer: Provided thorough documentation, data dictionaries, and hands-on walkthroughs so internal teams could operate the platform independently.

What was your primary form of communication with Aeolus Data Solutions?

• In-Person Meeting
• Virtual Meeting
• Email or Messaging App

What did you find most impressive or unique about this company?

• Full-Stack Data Engineering & Activation: Unlike traditional consultants who only build pipelines or static dashboards, Aeolus connected the entire loop—from server-side tracking (Meta CAPI) to dbt transformations and operational Reverse ETL syncing directly into marketing tools.

• Deep E-Commerce & Growth Acumen: They spoke the language of the business, translating complex data models into actionable commercial levers (blended MER, RFM cohort retention, inventory velocity).

• Production-Grade Engineering Rigor: Built with long-term maintainability in mind—using Infrastructure as Code (Terraform), automated CI/CD testing on all dbt models, and data contracts rather than fragile ad-hoc scripts.

• Zero Vendor Lock-In: Left behind well-documented runbooks, clean data models, and a self-serve analytics stack that our internal team could easily own and extend.

Are there any areas for improvement or something Aeolus Data Solutions could have done differently?

• Earlier BI Wireframing for Non-Technical Teams: Introducing dashboard mockups earlier during the data modeling phase would have streamlined final feedback and sign-off from non-technical marketing and merchandising stakeholders.

• Staggered Team Onboarding: Because the modern data stack (dbt, semantic layers, BI self-serve) represented a significant step up in sophistication, scheduling bite-sized training sessions throughout the project—rather than concentrating them at handoff—would have eased the team's transition.

• Third-Party API Rate-Limit Buffering: Providing clearer upfront guidelines on third-party ad platform API quirks and rate-limit constraints could have reduced minor back-and-forth during initial data reconciliation.