The agent doesn't just speed things up, it makes our decisions more consistent and defensible. Every recommendation comes with the data and logic trail our auditors need.
ABC, VP of Procurement
Who, where and what changed
About the company
Industry
Food & Beverage
Volume
1,000+ restaurant menus (PDFs & images)
Stack
n8n, Python, Spreadsheet, Multimodal LLMs
Success metrics
Real-Time Distribution Tracking
Reduced manual workload
Cost‑efficient batch processing
What was breaking in the workflow?
Limited Visibility
Brands rely on rough, high-level estimates instead of seeing exactly which products are listed.
Fragmented Menu Formats
Inconsistent PDFs and images make it impossible to compare data across different locations.
Manual Tracking
Tracking thousands of outlets manually is too slow and expensive to be actionable.
Generic AI was not enough
Its hallucinations and misread layouts force manual corrections and destroy data trust.
How we built a Custom Market Intel Agentin just 10 days!
PHASE 1
Workflow mapping
Benchmarked leading LLMs on 100 complex menus to map out an optimized accuracy, speed, and cost-efficient workflow.
PHASE 2
Data connections and normalization
Adopted Landing.ai to visually parse menus into logical blocks (categories, items, prices) before text extraction.
PHASE 3
Rule-driven decision logic
Connected raw menu images to a structured database by normalizing layout variations into consistent, logical data blocks for analysis.
PHASE 4
Governance and human-in-the-loop
Combined automated quality checks with human verification to guarantee 99.9% accuracy and total data trust.
We build your bespoke AI Assistant using off-the-shelf technologies
