Lyzr for Commerce, TikTok Shop

Automate your TikTok Shop with agents.

The algorithm gives distribution one video at a time. A Lyzr agent orchestration senses the trend, writes, renders, and clears compliance, so your team just hits approve.

@yourbrand the agents made this before your standup ended.
8+1
Agents plus one human gate
72h
Trend window, your pipeline
now fits inside it
<24h
From trend signal to
reviewed video
~$0
Marginal cost per
additional video

Commerce programmes running on Lyzr

Why content velocity is now a distribution strategy

The algorithm rewards whoever
posts while the trend is live.

Trends peak in 72 to 96 hours. Agency cycles run 15 days. That gap is not a content problem, it is a distribution problem. The brands capturing the most GMV are not the biggest, they are the ones posting while the trend is still moving.

How content ops work today
With the Lyzr orchestration
Gap 01

Agency cycle: 15 days, $2K to $25K per asset

By the time the video is approved, the trend is gone. The production investment runs into a dead audience.

Fix 01

Trend detected, video live in under 24 hours

The moment a trend signal fires, the pipeline starts. Script, caption, and video run in parallel. By the time a human reviews, the asset is already rendered and compliance-cleared.

Gap 02

UGC creator roster: 2 to 7 days per brief

Cheaper than agencies, but still calendar-bound. At $150 to $800 per video, a 3 to 5 post-per-week cadence costs $23K to $208K a year per shop before a single paid impression.

Fix 02

Marginal cost is compute plus about five minutes

At enterprise volume, cost per published asset drops two orders of magnitude. The budget shifts from videos commissioned to review minutes staffed.

Gap 03

Speed without governance is existential

TikTok Shop’s most cited violation is misleading claims, exactly where ungoverned generative content fails first. 48 penalty points means permanent deactivation.

Fix 03

Two automated gates plus one human approval

Compliance and RAI review run on every generation. The gates are what make the speed usable. Governance is not the tax on velocity, it is the license for it.

Full walkthrough

See the whole pipeline
in one run.

One real run, start to finish. The trend detected, the script drafted, the video rendered, both gates cleared, and a human approval, in a single pass.

superflow/tiktok-shop-orchestration · full runwalkthrough
The orchestration

Drop a trend, a reference, or an idea.
Get a compliant TikTok video back.

Spotted a trend on TikTok? Drop the link. Have a reference video to adapt for your product? Share it. Have a rough brief? Type it. The pipeline extracts the brief, matches your catalog, drafts the script, renders the video, clears compliance, and waits for your approval.

Trend-to-Video Pipeline

Commerce · Live on TikTok Shop, Shopify, Seedance

Senses a rising trend, matches it to in-stock SKUs, writes the hook and script in your brand voice, and renders a native 9:16 video, script and caption running in parallel. A full asset in under 90 seconds of machine time.

Trend sensing ranked by catalog fit, not raw volume
Script, caption, and hashtags generated in parallel
Native 9:16 render, hook in the first second, product shots cut in
Proof point
<24hours
Trend detected to reviewed video in under 24 hours, at compute-plus-review cost.
Live deployments
TikTok ShopShopifySeedance

Governance and Approval Gates

Commerce · Two automated gates, one human

Every generation clears a compliance check against TikTok Shop policy and an independent Responsible AI review before a human ever sees it. Your team then edits, approves, or sends back with notes. Nothing publishes without the human gate.

Compliance gate loaded with your category restricted-claims list
Independent RAI gate for profanity, brand, and content safety
Human approval in about five minutes per asset
Proof point
8+1gated
Two automated gates plus one human approval on every asset, so speed stays usable.
Live deployments
ComplianceRAI GuardHuman review
01 · The orchestration

Open any block. Change anything. Re-run it.

Scroll to run the pipeline. Each agent lights up as the flow moves through it, from the first trend signal all the way to a published, reviewed video.

Live run superflow/tiktok-shop-orchestration · run #0042 00:00.0
AGENTagent/trend-sensor
Trend sensing
Rising sounds and formats in your category.
AGENTagent/catalog-match
Catalog match
Maps the trend to your SKUs.
parallel
AGENTagent/scriptwriter
Script writing
Hook and script in your brand voice.
AGENTagent/caption-gen
Caption & hashtags
Caption and tags from live data.
AGENTagent/video-gen
Video creation
9:16 video via Seedance and Runway.
two gates
AGENTagent/compliance
Compliance
TikTok Shop policy and category rules.
AGENTagent/rai-guard
RAI review
Independent Responsible AI gate.
HUMAN GATEhuman/reviewer
Human approval
A person approves, edits, or sends back.
AGENTagent/tiktok-shop
Publish
Posted and linked to the listing.
changes requested, back to script performance signals feed the next run 8 agents · 1 human gate
scroll to run
The system that learns

Run the loop. Own the learning.

Each run feeds performance back into the system, what trended, which SKUs converted, which scripts cleared the gates first time. The pipeline tightens on what works.

What the pipeline tracks per run

View velocity

Which trends drove reach in your category

GMV per video

Which SKUs convert when they are in the video

Gate pass rate

Script quality improving as the loop runs

Review time

5-minute target per asset as confidence builds

The moat is not the pipeline.

It is the quarters of learning the loop has already banked. Brands that start now compound while competitors are still commissioning one-off UGC briefs.

Trend sensing sharpens over time

Performance data from published videos re-ranks how the trend sensor weights future signals. Your category intelligence compounds with every run.

Scripts improve from reviewer notes

When a reviewer requests changes, those notes attach to the rejected asset and re-enter the scriptwriter. Every rejection makes the next first draft better.

SKU selection becomes data-driven

GMV per video feeds back into catalog match. The agent learns which SKUs perform in which trend contexts, and prioritizes them in future runs.

Schedule optimizes for your audience

Publish timing is part of the pipeline, not a calendar reminder. Engagement patterns feed the scheduler so each post goes live at your audience peak window.

The stack underneath

Built so your team can run it,
not just demo it.

Every part of the pipeline is editable, explainable, and owned by your team, not locked inside a vendor’s system. Here is what makes that possible.

Orchestration

Change any step without breaking the pipeline

Swap an agent, add a gate, change the script prompt. The rest of the workflow keeps running. No engineering ticket required — your team edits it directly.

sense Trend script Write video Render human Approve ↕ swap agent
Version control

Every change is tracked. Anything can be undone.

Every prompt update, agent change, and config edit is versioned. If a script update starts underperforming, roll back to the version that worked — with a full record of what changed.

v14 tone: casual, 2 emojis max + v15 tone: casual, no emojis + hook: question in first 1s
Guardrails

Brand safety runs automatically. Every video, no exceptions.

TikTok Shop policy, profanity, and your brand guidelines are checked on every generated asset before it reaches a human reviewer. Nothing slips through at scale.

compliance PASS profanity PASS brand voice PASS
Inference

Swap the AI model without rewiring anything.

The pipeline isn’t locked to any single AI provider. Switch the language model, the video model, or any other component via config. Your workflow stays the same — the model underneath is your choice.

pipeline unchanged llm · script video · seedance video · runway same output format
Video generation

TikTok-native video. Hook in the first second. Product linked.

9:16 format, captions burned in, product shots included. Video models are configurable — swap between Seedance and Runway without changing anything else in the pipeline.

🎥 9:16 hook in first second product shots built in captions burned in video model Seedance ✓ Runway —
Deployment

Your catalog data and brand content never leave your environment.

Deploys inside your own cloud — AWS, Azure, or Google Cloud. Your product data, your customer data, your brand assets all stay within your perimeter. We bring the pipeline. You keep the data.

AWS Azure Google Cloud YOUR PERIMETER your VPC data stays here agents, models & content run here
What Lyzr adds to what you already run

You do not start from scratch.
You add the layer that makes it scale.

Your existing e-commerce stack, Shopify, your product catalog, your brand assets, stays exactly as it is. Lyzr adds the orchestration, the governance, and the intelligence that turns your content operation from a manual cycle into a governed pipeline.

What you need
What you have today
What Lyzr brings
Trend detection
Manual monitoring, someone is watching TikTok hoping to catch it early
Continuous automated scanning ranked by catalog fit. Fires production the moment the signal appears.
Content production
Agency brief (15 days) or UGC roster ($150 to $800 per video, 2 to 7 day turnaround)
Script, caption, and rendered 9:16 video in under 90 seconds of machine time. One reviewer, about 5 minutes.
Compliance and brand safety
Manual review before publication, or discovered post-violation
Two automated gates on every generation. Nothing reaches the human reviewer without clearing both.
Publish timing
Scheduled manually on a content calendar
Publish timing is agent-managed and optimized to your audience peak window automatically.
Performance feedback
Analytics reviewed separately, then manually fed back to the content brief
Every published video performance re-enters the pipeline. The system tightens on what works.
Version control and rollback
Prompts in notebooks, no history, no rollback when something breaks
Every agent versioned. A bad prompt rolls back like a bad deploy, with a diff of what changed.
Start here

Run it on your catalog
before you commit to anything.

Tell us what you sell and we will walk you through the pipeline live, trend detected to reviewed video, in about 20 minutes. For brands operating at scale, and for partners building this for their e-commerce customers.

1

Tell us your catalog category

Beauty, snacks, fashion, electronics, a category is enough. We configure the trend sensor to your vertical.

2

We run the pipeline live on a real trend

One actual run. You see the workflow execute in Lyzr Studio, script drafted, video rendered, gates cleared.

3

You review and approve, or edit

The human gate is yours. Approve the asset, request changes, or send it back to the scriptwriter, you see exactly how the workflow responds.

4

We show you the architecture behind it

Every block, every config, every governance layer explained, so you or your team can own it, not just demo it.

commerce@lyzr.ai · Agencies and SI partners welcome
Try it on your catalog first.

Tell us what you sell and we will walk you through the orchestration live, trend to reviewed video, in about 20 minutes.

Production in 8 weeks

Production in eight weeks.
Tell us what is in the way.

Bring your catalog, your current content process, and your blockers. We will show you what the pipeline looks like on your specific environment, and what your first run delivers.

commerce@lyzr.ai · SI partners and agencies welcome