Asakana

Asakana · Launch Video Breakdown: Hook, Pacing & Motion Design

AI back office for food distributors

AI & MLProductionOctober 16, 2026@asa_sakana_fish
0:00 · The Hook · Founder Introduction & Value Prop
0:00 / 0:00

Scene-by-scene timeline & spoken transcript

  1. The Hook

    Founder Introduction & Value Prop

    “We automate back-office work for food distributors. Your team doesn't have to learn a new app. They just keep texting. Asakana reads every message and does the rest.”

    On screen
    Ben Co-founder & CTO | Yudai Co-founder & President | Orders - auto-entered from texts
    Camera
    Static two-shot founder presentation in fish market setting
    Motion
    Floating UI chat cards transitioning into structured spreadsheet rows
  2. Problem Agitation

    Legacy Paperwork & Shelfware Software

    “Food distributors still run on paper, texts and voicemails. You know it's old school. You want out. You just can't get out. So the boss buys new software. And the team never opens it. The problem was never your team. It was software that asked them to change.”

    On screen
    6:03 am cold room | ORDER SLIP Golden Bay Sushi | Enterprise Suite $48,000 / year | Day 90 Active users 0 of 12 seats
    Camera
    Isometric overhead tilt and paper card stack animations
    Motion
    Mixed-media cutout collage with dashboard overlay and decay counter
  3. Problem Agitation

    The Manual Order Entry Breakdown

    “Let's say you're Kevin. You sell seafood to restaurants. Take order entry. A chef messages you on WeChat: Forty salmon for Friday. Forty what? He doesn't say. He expects you to know. Tonight, you're typing it in by hand, you enter 40 pounds, he meant 40 fillets.”

    On screen
    Kevin. seafood distributor | 9 am in the morning | Take Order | Chef Lin WeChat: Forty salmon for Friday. | 40 lbs vs 40 fillets | Credit memo
    Camera
    Stippled woodcut collage transitions with punch-in typography
    Motion
    3D isometric block rotation with question mark morphing into unit discrepancy
  4. Product Reveal

    Contextual AI Order Automation

    “Now watch the same order with Asakana. Kevin replies like he always does. Asakana knows Chef Lin means fillets, since it learns how each customer orders. And the order is already in the system your warehouse uses. Nobody retyped it.”

    On screen
    ASAKANA | Asakana is reading the order | Salmon fillet · skin-on · 8 oz | In your ERP · SO-2291 | Out for delivery Matches the order | fillets
    Camera
    Smooth UI panning and dynamic callout anchoring
    Motion
    Chat message string parsing into automated verified order ticket
  5. Feature Teaser

    Institutional Knowledge Retention

    “Now Kevin moves on. In the old world, his customers' habits leave with him. Who means fillets? Who means cases? Who always forgets the lemons? The new rep has to learn it all the hard way. One wrong order at a time. With Asakana, that knowledge stays with your business, not with one person.”

    On screen
    KEVIN Seafood distributor Moved on | Sunrise Restaurant | Chef Lin | Harbor Eats | Marco's | Suggested order: Approve order
    Camera
    ID badge drop to radial mind-map network view
    Motion
    Dynamic graph network nodes re-anchoring to central Asakana hub
  6. Call to Action

    End-to-End Workflow & Final CTA

    “Order entry is just one example. Any kind of manual bottleneck... suggesting subs for short items, credit memos, inventory replenishment... We provide the intelligence to automate it, or do it better. Your team doesn't change how they work. They just keep texting.”

    On screen
    One Example | Invoice #1048 damaged | Spreadsheet, Email, Legacy ERP | Asakana.co | ASAKANA
    Camera
    Live founder framing intercut with kinetic motion pipeline
    Motion
    Particle bottleneck simulation opening into multi-platform sync icons

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