How to Make Sourcing More Efficient: A Modern Workflow for Interior Designers 

Quick answer: The fastest way to make sourcing more efficient is to stop treating discovery, pricing, and purchasing as three separate steps. Instead, use AI tools like Claude, ChatGPT, or Gemini alongside a searchable vendor catalog (filterable by price, color, size, and vendor) to narrow down options from your desk — then move that sourced item straight into a proposal and purchase order inside one platform, like Studio Designer. Showroom visits stay part of the process, but they become more purposeful, since you’re walking in already knowing what you’re there to see. This closes the non-billable gap time that used to sit between finding a product and selling it to a client.  

Key Takeaways 

• The old sourcing model — open-ended showroom visits, handwritten notes, memorized pricing — takes a lot of time and is hard to bill for. 
• AI tools plus a searchable vendor catalog let designers narrow down options before ever leaving the office. 
• Keeping sourcing, proposals, and purchase orders in one platform eliminates the gaps between steps. 
• Showrooms remain a valuable part of sourcing. Seeing and feeling a piece in person doesn’t go away. Digital sourcing just helps designers arrive with a shortlist instead of starting from scratch. 
• Designers who are hesitant about AI can test it in a controlled environment before relying on it fully. 

What Does an Inefficient Sourcing Workflow Look Like? 

Many design firms still source the old way: driving to a design center, walking a showroom floor, and billing clients for the time it takes to physically find product. It feels productive — you’re doing the work — but the workflow has three hidden costs most designers don’t tally up until it’s slowing down a whole project: 

• The billing problem. Drive time and showroom-walking time are hard to bill cleanly. Clients may push back on “travel and research” line items in a way they don’t push back on design hours, so firms often eat the cost or underbill it — turning sourcing into a margin leak. 
• The memory problem. Pricing quoted verbally by a vendor rep, or written on a notepad or napkin, doesn’t travel with the project. It lives in one person’s head or one physical page. If that designer is out sick, changes firms, or just forgets which showroom had the better price on a fabric, the information is gone and must be re-sourced from scratch. 
• The reconciliation problem. Notes, photos, and pricing collected across four or five different showrooms all arrive back at the office in different formats — a phone camera roll, a legal pad, a mental note. Someone then must manually reassemble all of that into a single proposal, and that reassembly step is where errors (wrong price, wrong SKU, wrong vendor) tend to creep in. 

The actual time sink isn’t the showroom visit itself — it’s everything around it: the driving, the re-explaining, the reconciling. That’s the gap between “found the product” and “the client can actually buy it,” and it’s where efficiency quietly disappears. 

How Do AI Tools and a Vendor Catalog Speed Up Sourcing? 

Instead of physically visiting showrooms to discover products, designers can now use AI tools — Claude, ChatGPT, and Gemini — alongside a searchable vendor catalog to find what they need without leaving the office. 

A vendor catalog narrows an overwhelming universe of options down to trusted, vetted vendors and current inventory. Rather than sorting through “random stuff,” designers can search by: 

• Price
• Color
• Size
• Vendor

This turns product discovery into a filtered search rather than a physical scavenger hunt. 

How Does Sourcing Connect to Proposals and Purchase Orders? 

A modern sourcing-to-purchase workflow keeps everything in one platform: 

• Source the item through the vendor catalog 
• Present it clearly to the client as part of a proposal 
• Convert the approved proposal into a purchase order 
• Order the item directly, without switching tools 

Platforms like Studio Designer are built to keep this entire flow in one place, which removes the non-billable gap time that used to sit between each step. The result: less time managing logistics, more time spent actually designing. 

Are Showrooms Still Useful in an AI-Driven Sourcing Workflow? 

Showrooms aren’t going away, and many designers still want to see and feel materials in person. The efficiency shift is when that visit happens. 

Instead of visiting a showroom to discover options, designers can: 

• Find products first in a digital vendor catalog 
• Contact the showroom to see and feel a specific piece in person 
• Have a showroom order a sample piece to place on your floor 
• Request fabric samples be sent directly to your office 

This is sometimes summarized as “source before you see.” Digital sourcing narrows the field first, so in-person showroom time is spent confirming a decision rather than searching for one, making both your office time and your showroom visits more efficient. 

Why Are Some Designers Hesitant to Adopt AI-Assisted Sourcing? 

Adoption isn’t universal, and that’s normal. Newer or younger design firms tend to already be comfortable with these tools, since AI and digital catalogs are simply how they learned to source. Designers with longer tenure in the industry — who built their process around showroom visits — are often more reluctant to change habits that have worked for years. 

For designers in that position, the shift doesn’t have to be all-or-nothing. Testing AI-assisted sourcing inside a platform you’re already using, like Studio Designer, offers a controlled, low-risk way to experiment. Nothing gets lost “into the ether” — sourced items, notes, and pricing stay documented in a system you already trust, so you can get comfortable at your own pace. 

Frequently Asked Questions