How Americhine's AI-Native Product Development Experts Win Over Walmart Buyers

30
% fewer dropped styles due to more lifelike visuals
1
day to produce photorealistic assets post-design meeting
100
% buyer alignment before final physical samples arrive

Americhine, a division of Indochine, is a leading product development partner for major U.S. retailers such as Walmart, Aeropostale, Lucky Brand, JC Penney, and Belk. Known for its focus on young adult collections, Americhine operates on tight seasonal development cycles and must deliver high-volume assortments with speed, accuracy, and visual polish.

The Challenge

Realism, Not Randomness

Americhine’s design director, Paula Unger, had been experimenting with Midjourney and other generative AI tools in pursuit of a specific goal: not creativity for creativity’s sake, but precision. She needed a way to elevate her Adobe Illustrator sketches into realistic visuals that reflected price-conscious design decisions, fabric details, and accurate denim washes—without the time or complexity of 3D modeling.

“I’d been trying for over two years to create more realistic versions of my designs using Midjourney, but it couldn’t execute my exact vision. Make the Dot finally gave me the control and realism I was looking for.”

Paula Unger, Sr. Director of Design and Product Development, Indochine

The Solution

Hyper-Real Design, Delivered Instantly

Americhine adopted Make the Dot as a core part of its design-to-buyer workflow. Paula and her team now use the platform to:

  • Generate photorealistic CADs in minutes for pre-sample buyer alignment
  • Communicate wash and dry process details to factories with visual accuracy
  • Replace Illustrator-based 2D sketches with immersive AI visuals that better convey design intent
  • Reduce confusion and cancellations with clearer internal and external alignment

The Results

Faster Feedback, Stronger Sell-In

At Americhine, Paula’s team collaborates directly with Walmart buyers in co-creation meetings to define the collection vision—before a single sketch or sample is made. Using Make the Dot, they align on key silhouettes and washes instantly with high-fidelity renders, streamlining the briefing process and removing guesswork. Once direction is confirmed, the design team uses those same photorealistic visuals to communicate with factories, resulting in first samples that are far more accurate—a game changer in denim, where visual nuance is critical and hard to convey through traditional flat sketches.

While sample production is still required by certain retailers, Make the Dot has helped Americhine optimize the critical pre-sample window—improving decision-making and reducing dropped styles.

  • More accurate buyer feedback earlier in the process
  • Fewer cancelled SKUs due to improved visualization of fit, finish, and wash
  • Increased buy-in from buyers, particularly at Walmart
  • Faster factory communication through visual tech packs and wash references
  • Professional, elevated line sheets with ghost and on-model renders
  • No need for 3D CAD or patterning—Make the Dot renders deliver realism instantly
“These 3D flats and denim wash renders help us align with buyers much earlier. They look so lifelike, they’ve actually helped reduce dropped items—and given us more chances for buy-in.”

Why Make the Dot?

Unlike general AI tools that prioritize randomness or creative exploration, Make the Dot is built for precision execution. Paula emphasizes that what sets the platform apart is its ability to replicate the designer’s exact intent, down to the trim placement and fabric details, for commercial-grade retail execution.

“Other platforms give you creative options—but I don’t need options. I need accuracy. Make the Dot nails the look I already have in mind.”

Paula Unger, Sr. Director of Design and Product Development, Indochine

Ready to adopt Make the Dot?

If you're interested in experiencing the power of Make the Dot firsthand and discovering how it can reduce your product development costs as well as increase your line adoption, get started here.

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