Retail AI and market expansionAnonymous client

How an AI company validated demand outside Brazil with 68 meetings booked

Without a physical presence in the target countries, the program adapted language, segmentation and cadence to sell shelf-recognition technology.

Documented outcomes

Anonymous client · Retail AI and market expansion

1,650companies approached

2,365contacts worked

68meetings booked

48demos and proposals completed

The situation

The solution used AI and image recognition to analyze product execution on retail shelves. The company wanted to validate Colombia and the Dominican Republic before building a local presence.

The challenge combined a technical sale, different commercial cultures and a broad universe of retailers and consumer brands. Translation alone would not be enough.

The approach

Protagnst built a high-volume cadence with culturally adapted scripts. Segmentation separated relevant companies and contacts, while messaging connected the technology to availability, execution and shelf visibility.

Outbound served as commercial research: measure interest, open conversations and learn how each market reacted before increasing local investment.

The outcome

The operation approached 1,650 companies and worked 2,365 contacts. It recorded 80 presentation requests, 68 booked meetings and 48 demos and proposals.

Meetings included recognized retail and consumer-goods companies. Those names represent access and opportunities; the source does not report contracts or revenue.

1,650companies approached

2,365contacts worked

68meetings booked

48demos and proposals completed

Figures are presented with the context and limitations documented in the project material.

What this case demonstrates

Outbound can validate international expansion before a major investment in local presence. It turns assumptions about market, message and decision-maker access into commercial evidence.