Asakana GTM brain

Asakana automates order entry and other administrative workflows for food distributors using their existing communication channels and systems.

category

Food distribution order automation

market profile

  • text: Food distributors receive orders through fragmented informal channels, forcing staff to re-enter details into ERP systems.
  • text: US seafood distributors are an initial use case, with YC reporting over 40% of order-desk time returned to selling.

personas

  • title: Food distributor owner or general manager
    pains:
    • Order desk labor absorbs time that could go to customer relationships and selling.
    • Prior software investments struggle when restaurant customers and staff will not change habits.
  • title: Order desk or customer service manager
    pains:
    • Rekeys texts, calls, photos and handwritten orders into an ERP under cutoff pressure.
    • Must resolve product shorthand, substitutions and customer-specific rules without creating errors.
  • title: Sales director
    pains:
    • Reps spend selling time on order entry and credit administration.
    • Does not want to sacrifice customer relationships to a self-service ordering portal.

icp

  • text: US seafood distributors selling to restaurants are the initial evidenced segment.
  • text: Food wholesalers with many free-text, phone or handwritten orders, an ERP and customer-specific product shorthand; exact employee and revenue bands are unreported.
  • text: Distributors with multilingual customer communications and established relationships may benefit from keeping existing ordering channels.

message pillars

  • text: Keep staff and restaurant customers in familiar channels.
  • text: Handle the shorthand and exceptions specific to food distribution.
  • text: Work with existing distributor systems.

objections

  • objection: Our customers will not use another ordering app.
    response: Asakana says customers can keep ordering in their existing channels while the distributor automates the back office.
  • objection: Can it handle our product aliases and messy orders accurately?
    response: Use a pilot and backtest against real orders, with staff reviewing unclear cases before ERP entry.
  • objection: Will it work with our ERP?
    response: Discuss the actual ERP, access method and workflow during a tailored integration assessment.

competitors

  • name: Choco
    website: https://choco.com/us/
    why: Automates multichannel order processing for food distributors and connects to ERPs.
  • name: Pepper
    website: https://www.usepepper.com/distributors
    why: Offers AI and commerce tools to independent food distributors.
  • name: Fresho
    why: OrderPilot is an alternative order capture layer for food wholesalers.

keywords

  • food distributor order entry automation
  • seafood distributor ERP automation
  • restaurant text orders to ERP
  • foodservice order desk AI
  • food wholesale order processing
  • automate handwritten food orders

voice

  • practical
  • industry-specific
  • relationship-conscious

signals

  • text: A distributor is hiring order desk staff or experiencing high volumes of manual text and phone orders.
  • text: A distributor has an ERP but restaurant customers resist moving to a new ordering portal.

stack

  • QuickBooks Online
  • Sage Intacct
  • Zoho Inventory

pricing

model: contact_sales

motion

sales_led

channels

  • YC launch
  • SEO
  • direct sales

confidence

high

Founders

  • name: Yudai Matsuoka
    title: Founder/President
    role: Founder
    bio: Fish-lover🐟 / Ex-Fisherman / Ex-McKinsey. - Tuna Distributor: Mitsubishi Corporation (Tokyo) - Fisherman: Yellowtail fish farm (Kagoshima, Japan) - Consultant: McKinsey (Tokyo, New York) - MBA: Columbia Business School / UC Berkeley Haas
  • name: Benjamin Solis-Cohen
    title: Founder/CTO
    role: CTO
    bio: Co-founder at Asakana. Previously senior AI research engineer at Google launching Gemini in Chrome and computer use agents (e.g. Project Mariner back in 2024). Contributed to the first Gemini Computer Use model paper. 8 years at Google spanning Ads ML and AI research.

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