Travel Tech Case Study

Automating a Surprise-Trip Engine to Cut Manual Work by 75%.

75%
Less Manual Work
3x
Faster Processing
500+
Trips Automated
4wk
Total Delivery

Also Partnered With:

BlinkIn logo
Blookery logo
LiveEasy logo
Blookery blind booking platform showing surprise trip search and booking interface

The Challenge

Blookery's surprise-trip booking engine relied heavily on manual email processing and data extraction. Every booking required human intervention to parse customer emails, extract trip preferences, and match them with available packages.

The team was drowning in operational overhead. As booking volume grew, the manual workflow became the bottleneck — causing delays, errors, and an inability to scale without linearly increasing headcount.

The Founder-Led Solution

Applying my ‘Zero-Delegation’ engineering philosophy, I designed and built an automation engine that transformed Blookery's manual workflow into a streamlined, semi-automated pipeline.

  • Built intelligent email parsing that automatically extracts trip preferences, dates, and budget constraints from customer communications.
  • Created a matching algorithm that pairs extracted preferences with available trip packages based on weighted scoring.
  • Implemented a dashboard for the operations team to review, approve, and override automated suggestions in one click.

Concrete Business Impact

The automation engine freed Blookery's team to focus on curating better experiences instead of processing emails.

01. Efficiency
75%

Reduction in manual processing workload for the operations team.

02. Speed
3x

Faster booking turnaround from customer email to confirmed trip.

03. Scale
500+

Trips processed through the automated pipeline since launch.

Manish understood our pain point immediately and built a system that gave us our time back. What used to take hours now takes minutes. He turned our biggest operational bottleneck into a competitive advantage.
Jannis

Jannis

Blookery

How We Built It

1

Workflow Analysis & Data Mapping

Mapped the entire manual booking flow end-to-end, identifying automation opportunities and data extraction patterns from customer emails.

2

Automation Engine Development

Built the email parsing engine, matching algorithm, and operations dashboard as an integrated but modular system.

3

Testing & Staged Rollout

Validated automation accuracy against historical bookings, then rolled out progressively to ensure reliability at scale.

Technology Stack

Node.jsNode.js
Express.jsExpress.js
OpenAIOpenAI
PostgreSQLPostgreSQL
ReactReact
AWS LambdaAWS Lambda

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