Proof
Real outcomes from recent projects — dashboards, automation, and data systems that ship.
Case Studies
How we solve complex data problems.
Sales pipeline data lived inside Pipedrive, with limited visibility and no reliable reporting layer.
What we built
- Pipedrive → BigQuery warehouse (historical + incremental loads)
- Hourly refresh pipeline tables
- Executive dashboard for deals, stages, velocity, win rate
Outcome
3 months of history + hourly real-time visibility in one dashboard.
Transactions and customer data were scattered across spreadsheets and channels, blocking clear insights.
What we built
- Connected internal ERP/OPS system + spreadsheets into one model
- Customer frequency + best-selling products + top points of sale
- National store performance + online store performance
Outcome
A single source of truth for sales, customers, and channel performance.
No unified view between sales and inventory; margins and profitability were hard to track.
What we built
- Sales vs inventory model + margin & profit views
- Executive dashboard for performance and profitability
- Forward-looking views for upcoming months (forecast module)
Outcome
Unified sales + inventory + margin reporting for executive decisions.
Store performance changes were hard to detect early (drops/spikes), delaying commercial actions.
What we built
- ML-based anomaly detection on store KPIs
- Ranking of stores improving vs declining
- Alert-ready outputs for weekly review and action plans
Outcome
Earlier detection of performance shifts to support commercial strategy.
Manual reporting across clients and channels took too long and lacked daily consistency.
What we built
- Automated reporting for Meta Ads + Google Ads + organic FB/IG
- Daily-updated dashboard views per client
- Standardized KPIs and definitions
Outcome
Daily reporting without manual work — consistent metrics across clients.
Pricing and promos were not data-driven; hard to quantify demand response to price changes.
What we built
- Elasticity analysis framework by model/segment
- Promo scenarios and price recommendations
- Decision-ready outputs for margin + volume tradeoffs
Outcome
A pricing decision framework to guide promos and margin growth.
What clients say
"We finally have a clear view of our pipeline — the dashboard replaced manual reporting and made weekly decisions faster."
Operations Lead
Real Estate
"Our data was everywhere. Now we track customers, products, and points of sale in one place — and the team actually uses it."
Founder
E-commerce Brand
"Automated reporting changed everything. We can review performance daily across channels without spreadsheets."
Director
Marketing Agency
"Seeing sales, inventory, and margins together gave us a management-level view we never had before."
Finance Manager
Retail Company
Stack we support
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