Case study

Automating Content Strategy for a Travel Agency

Stack

LangGraph, Pinecone Vector Database, Dedicated MCP Servers, Proprietary API Gateways, Internal Tour Management Systems (TMS)

DURATION

6 Weeks

TEAM SIZE

2 AI Engineers, 1 Marketing Lead

Key Results & Value:

Content Velocity: The platform achieved a 200% increase in content output, consistently generating 12–14 high-quality posts per day without increasing marketing headcount.
Revenue Uplift: Automated content led to a 14% higher seat fill rate for promoted tours, directly driving increased revenue and bookings.
Operational Efficiency: Human marketers now spend 58% less time on daily publishing tasks, reallocating their focus to creative strategy and high-value partnerships.
24/7 Coverage: The system ensures 100% capture of urgent revenue by autonomously publishing time-sensitive deals overnight and on weekends, eliminating previously missed sales windows.

About Our Client:

A Leading Travel Agency is a medium-sized, fast-growing European travel agency specializing in last-minute deals and niche regional tours. Their business model relies heavily on rapid, high-volume social media marketing to fill tour slots quickly.

The Challenge:

The agency’s marketing relied on two employees manually creating posts from constantly changing tour data. Most work happened during business hours, leaving new deals unpromoted overnight or on weekends. Posts were inconsistent and focused on likes rather than bookings.
Pain points:

Needed 15-20 posts per day, but could only produce 5-7 manually.
Missed revenue from deals launched outside office hours.
Ad‑hoc planning with no alignment between CRM, TMS, and social channels.
No attribution between engagement metrics and actual seat fill.

Solution Overview

Insoftex designed a goal‑driven multi‑agent system that continuously reads live tour data, prioritizes products by urgency and margin, and autonomously plans, generates, validates, and schedules posts 24/7.

Key Capabilities:

Planner Agent: Ranks tours using a Tour Priority Score (time‑to‑departure, seats left, margin) and builds a rolling 14‑day cross‑channel calendar.
Copy & Asset Agent: Produces channel‑specific captions, inserts destination insights, and selects approved photos or videos from the library.
Compliance Guard: Enforces brand voice, pricing phrasing, and disclaimer standards.
Scheduler & Tracker: Publishes through platform APIs, applies UTMs, and logs results into the analytics layer for feedback learning.

Architecture:

Orchestration: LangGraph‑based multi‑agent workflow with autonomous task assignment and guardrails.
Knowledge Base: Pinecone vector index combining product briefs, destination FAQs, brand book, and historical high‑performing content.
Integrations:

- TMS/CRM (read‑only access for pricing and availability)
- Social APIs (Instagram, Facebook, X) for scheduling and performance tracking
- Internal asset library for visual selection
Infrastructure: Secure MCP servers, least‑privilege keys, encrypted secrets, Dockerized deployment, and audit trails.

Governance & Safety:

Strict read‑only integration with tour and sales data.
Schema validation for itinerary, price, and call‑to‑action consistency.
No PII leaves client systems; analytics are stored in aggregate form.
Optional human‑in‑the‑loop approval for the first phase of deployment.

Operational Flow

Ingest & Rank: Planner imports tours daily and calculates a Tour Priority Score.
Plan: Creates a 14‑day rolling content plan balancing urgency, awareness, and evergreen posts.
Generate: Copy agent drafts, captions, reference the knowledge base, and select visuals.
Validate: Guardrails verify brand tone, pricing accuracy, and legal text.
Publish & Learn: Scheduler posts content, tracks engagement and seat‑fill response, and feeds insights back into the planner.