Bring premium Japanese matcha to more U.S. buyers
First Agri is looking for U.S. sales partners who already have relationships with cafés, foodservice distributors, specialty retailers, and CPG teams.
If your team already works with qualified buyers, this pilot may be a fit for a performance-based sales representation model.
No inventory purchase required. We’re starting by confirming partner fit over email.
- Japan-based supply team
- Export coordination
- B2B matcha expertise

Who this partnership is for
If you already sell to food and beverage buyers, your existing relationships are the starting point.
Foodservice brokers
Café, restaurant, and distributor relationships
Specialty food representatives
Natural, gourmet, and specialty product coverage
CPG retail agencies
Buyer relationships across retail and omnichannel accounts
How the partnership works
A clear split of responsibilities — you stay close to buyers, we handle product and supply from Japan.
Your team
- Qualified introductions
- Early sales conversations
- Local buyer context
First Agri
- Product expertise
- Commercial terms
- Export and fulfillment coordination
- Supply communication from Japan
Why matcha, why now
Matcha is already familiar to cafés, beverage teams, bakeries, and premium food brands. The challenge is helping serious buyers access consistent Japanese supply with the right commercial support.
- Demand across cafés, foodservice, and beverage programs
- Growing interest from specialty retail and CPG brands
- Buyers want consistent quality and reliable Japanese supply
What this is — and isn’t
This is
- Sales representation or lead development
- A fit check for performance-based collaboration
- Built around qualified buyer relationships
This is not
- An inventory purchase request
- A request to become a stocking distributor
- A consumer affiliate program
Interested in exploring fit?
Please reply to the email that brought you here and briefly share:
- Your coverage area
- The buyer types you work with
- Whether performance-based sales representation could fit your model