Cloudfinch
Case Studies

Systems we built.

Each one custom-built around how the business actually runs. Tagged by the AI-native patterns they demonstrate.

Energy

Three tools became one system.

Energy Fortune 500 Company

AI agentsDecisions baked inAgents stay current

The Challenge

The company was juggling three separate scheduling and operations tools that didn't talk to each other. Dispatchers, field teams, and managers were all working from different data, creating confusion, delays, and a massive operational overhead.

Our Solution

We built their unified scheduling platform: one custom AI-native system replacing the three tools their ops team had stitched together. 60% faster scheduling, zero sync issues, intelligent automation baked into every workflow they touched.

In Production Today

Agents now run industrial safety investigations on the same platform — pulling incident reports, telemetry, and operator notes to surface root cause and required follow-ups.

40%

Less operational workload

3→1

Tools consolidated into one system

60%

Faster scheduling turnaround

0

Data sync issues (previously daily)

The custom scheduling system Cloudfinch built replaced three separate tools and cut our operational workload by 40%.

General Manager, Energy Fortune 500 Company

Logistics

Operations is now a system, not a spreadsheet.

Logistics Solutions Provider

AI agentsDecisions baked inAgents stay current

The Challenge

The operations team was running entirely on manual Excel tracking: coordinating routes, managing deliveries, and reconciling data across spreadsheets. Slow, error-prone, and consuming over 15 hours a week of senior staff time.

Our Solution

We built their dispatch and route platform, the AI-native system their operations team now runs on. Predictive delay detection, intelligent scheduling, and real-time tracking, shipped in 4 weeks. Replaced three spreadsheets and a duct-taped tracking tool.

In Production Today

Still running, still growing. Agents now ingest inbound documents and email automatically and generate compliance paperwork end-to-end — work the ops team used to handle by hand every week.

4 wks

From kickoff to live system

15 hrs

Saved per week on manual tracking

100%

Excel-based workflows eliminated

3x

Faster route planning

Cloudfinch delivered our logistics platform's MVP in just four weeks. We went from manual Excel tracking to automated route optimization — saving 15 hours a week.

Director of Operations, Logistics Solutions Provider

E-commerce

A recommendation engine that learns their catalog.

E-commerce Growth Company

Decisions baked inAgents stay current

The Challenge

Customer engagement was plateauing despite growing traffic. The existing recommendation system was basic and rule-based, failing to surface relevant products. The result: low conversion rates and missed revenue.

Our Solution

We built their recommendation engine: a learning system trained on browsing behavior, purchase history, and real-time signals to deliver personalized product suggestions across the entire customer journey. By year two it knew the catalog better than the merchandising team did.

In Production Today

Still running, still learning from the catalog as it evolves.

25%

Increase in customer engagement

1 mo

Time to measurable results

+18%

Improvement in conversion rate

2x

Increase in average order value

Their AI recommendation engine increased our customer engagement by 25% in the first month. The team was transparent, fast, and incredibly easy to work with.

CEO, E-commerce Growth Company

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