AI back office for food distributors
The Hook
“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.”
Problem Agitation
“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.”
Problem Agitation
“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.”
Product Reveal
“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.”
Feature Teaser
“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.”
Call to Action
“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.”
Synthesizable in Remotion · key components of the halftone-saas-explainer template.
Layered cards animate onto screen with spring physics and tilt jitter.
Map array items using spring-based translateY and rotational offsets derived from item indices.
Raw chat bubble animates dotted lines connecting to a structured ERP badge.
Interpolate SVG strokeDashoffset alongside scale transform on target card using spring.
Central icon expands outward connecting dynamic tags via animated bezier lines.
Calculate radial coordinates via trigonometry, interpolating line paths and tag opacities.
Purpose. Identify friction in existing unadopted enterprise software.
Execution. Discarded paper invoices falling over unused enterprise dashboards.
Purpose. Demonstrate costly real-world ambiguity in manual order texts.
Execution. Split graphic of 40 lbs versus 40 fillets followed by red error notices.
Purpose. Show seamless background parsing directly into warehouse ERP.
Execution. Interactive WeChat message resolving automatically into verified line items.
Purpose. Highlight defensibility through automatic tribal knowledge capture.
Execution. Network nodes retaining restaurant preferences when employee departs.
Objective
Launch an automated dispatch intake assistant for regional trucking carriers.How the recipe adapts
Replace fish market footage with freight depot scenes and swap fish units for trailer pallets and delivery windows.Scene durations (5 scenes, 60s)
Key Remotion components
Introducing Griffin, the first AI to pass the video Turing test
The most emotive and controllable TTS model
We just released QVAC TranscribePsy, a speech-to-text model small enough to run inside a phone app. It covers 25 European languages on a laptop and 8 on a phone, and on an iPhone 17 Pro Max's Ne