Categories

Latest

Industries

Featured

Products

Work with us

Navigation

Articles

Connect

Office Furniture· Monterrey, MX· Case Study

How DC&R Built 3 AI Workflows and Gave Their CEO 15 Hours Back Every Month

AI-powered invoice reconciliation, photorealistic space visualization, and multi-catalog product database — built for a growing office furniture distributor in Monterrey.

Industry
Office Furniture
Location
Monterrey, MX
Workflows
3 deployed
Key Result
15 hrs/mo saved
How DC&R Built 3 AI Workflows and Gave Their CEO 15 Hours Back Every Month

About DC&R

DC&R is an office furniture distributor based in Monterrey, Mexico. They design and furnish workspaces for corporate clients, managing relationships with multiple furniture manufacturers and handling everything from product proposals to delivery and installation.

Challenge 1: Invoice Reconciliation

The CEO was spending 10 to 15 hours every month manually reconciling invoices. The process involved opening each PDF, extracting key data by hand, and copying it into a spreadsheet organized across multiple tabs — all before the accountant could even begin generating reports.

The Solution

YUNO built an AI workflow where all incoming invoices are read directly from email. An AI agent extracts the correct fields from each PDF and organizes the data into the appropriate spreadsheet tabs. The accountant simply opens the spreadsheet and every report is ready — no manual data entry required.

Challenge 2: Space Visualization for Proposals

Creating visual proposals for clients required producing renders of furnished spaces using CAD tools like SketchUp and AutoCAD. Each space took 4 to 8 hours to render, required specialized software licenses, and often depended on external providers — all adding cost and slowing down the sales cycle.

The Solution

YUNO created an AI-powered image generation system. A salesperson photographs the empty space, selects the proposed furniture models, and the system generates photorealistic editorial-quality visualizations in seconds. No CAD software, no external providers, no waiting days for renders.

Challenge 3: Multi-Catalog Product Database

DC&R worked with up to 15 different furniture suppliers, each with their own catalog format. Some weren’t even organized in tables — just unstructured data scattered across PDFs, emails, and Google Drive. Salespeople wasted significant time searching through disorganized files to find the right product information.

The Solution

YUNO built AI agents that read all catalogs — regardless of format — and consolidate the unstructured data into a single, organized database. Salespeople and operators can now query product information instantly, needing only a tenth of the time they previously spent searching.

The Results

15 hrs

Recovered per month for the CEO

Seconds

To render spaces (from 4–8 hrs)

90%

Less time searching product info

YUNO didn't just automate tasks — they removed entire bottlenecks from our operation. I got my time back, my team moves faster, and our proposals now look like they come from a firm ten times our size. — R. Guerrero, CEO, DC&R