Run your store in plain English — multi-channel, agent-powered, insight-driven
TALS AI Assistant
Online
Here are the 5 products with the highest return rates:
| Product | SKU | Return rate |
|---|---|---|
| Floral Midi Dress A | SKU-20381 | 18.2% |
| Floral Midi Dress B | SKU-20455 | 15.7% |
| Denim Shorts | SKU-19832 | 12.3% |
| Linen Shirt | SKU-20112 | 9.8% |
| Sport T-Shirt | SKU-19956 | 8.1% |
● Top 2 are outliers — investigate quality feedback
5 headaches every merchant lives with — we've seen them all
Platform hopping
Shopify, Amazon, TikTok Shop, eBay… 4 back-offices every morning
Clunky ERPs
Menus nested 5 levels deep — new hires need a week of training
Month-end reconciliation
Cross-checking statements by hand, up until midnight
Manual anomaly triage
Stockouts, bad addresses, returns — all caught by human eyes
Repetitive support
80% of tickets ask about shipping and returns — copy-paste all day
What if an AI assistant could handle all of it for you?↓
Natural language in, real actions out — the AI understands intent and runs it
Delegate work like you would to a teammate — your team needs zero training to get started
Show me the 5 Shopify products with the highest return rate last week
Here are the 5 products with the highest return rates:
| Product | SKU | Return rate |
|---|---|---|
| Floral Midi Dress A | SKU-20381 | 18.2% |
| Floral Midi Dress B | SKU-20455 | 15.7% |
| Denim Shorts | SKU-19832 | 12.3% |
| Linen Shirt | SKU-20112 | 9.8% |
| Sport T-Shirt | SKU-19956 | 8.1% |
● Top 2 are outliers — investigate quality feedback
Scheduled jobs + event triggers — 24/7 autonomous execution
Scheduled
Scheduled tasks
▸ Every day at 8 AM
Auto-push yesterday's business report to your inbox
— Sales, refund rate, stock alerts — all at a glance
▸ Buyer requests a return
Auto-validates reason and order state; approves if rules match
— Support only handles exceptions, not every ticket
Event-Driven
Event-driven
▸ SKU inventory hits safety threshold
Auto-notify purchasing to restock
— Handled before you even notice it's low
▸ Shipping address looks incomplete
Auto-switch to a carrier that covers the area
— No manual review — fewer failed deliveries
"Return rate is up 3 points this week — 80% concentrated on 2 dress SKUs. Buyer feedback points to color mismatch."
—No digging through returns — the AI surfaces the why
"This hoodie's sales dropped two weeks running, but you're priced 15% above comparable SKUs — worth a look."
—More than numbers — actionable guidance
"Your repeat-buyer cycle averages 45 days. 200 customers are due now — want to run a promo?"
—You don't have to remember who's due — it watches for you
"At the current burn rate, these 3 SKUs won't last until Friday. The last stockout cost $1,100."
—Forward-looking predictions, not post-mortems
Answers questions
Basic data lookups
Spots problems
Surfaces anomalies
Suggests actions
Makes decision recommendations
The real pain isn't solving problems — it's answering the same ones over and over
Auto Response
Auto response
Buyer:"Where's my package?"
→ AI pulls the tracking ID and pushes live updates
Zero agent touch
Buyer:"Does this run big or small?"
→ AI summarizes from review data
"85% of buyers say it runs large — size down"
Buyer:"Buyer returned 3 orders in a row"
→ AI auto-flags as high-risk
Notifies team lead for review
Customer Insight
Customer insight
Detected this week:
23 buyers asked about the same T-shirt'scolor mismatch
AI proactively alerts:Possible batch quality issue — recommend supplier audit
Buyer · 2s ago
Does this T-shirt run true to size? I usually wear M
AI auto-reply · instant
Hi! Based on 312 verified reviews:
Quality alert · customer insight
This SKU has 23 color-mismatch complaints this week — contact supplier to audit the batch
This isn't the future — it's happening now
Walmart
Sparky
+35%
AOV
[1]
Amazon
Rufus
+60%
order rate
[2]
Klarna
AI support
$60M
saved/year
[3]
Alibaba
AI ads
+12%
ROAS
[4]
Shopify
AI bots
+15%
BFCM conv.
[6]
Enterprises aren't dabbling — they're going all in
300M
Amazon Rufus users within a year of launch[9]
Half
of Walmart app users now touch Sparky[9]
$53B
Alibaba's 3-year AI investment commitment[9b]
Giants are pulling ahead with AI.
Small and mid-market merchants don't have their teams,
but they have TALS.
Legacy systems
Old way
AI-native
TALS
Feature-driven
Built around modules and menus
Design logic
Task-driven
Built around what you need to get done
Users adapt to software
Learn click-paths first
Interaction
Software adapts to users
Natural language, direct action
Passive response
Only runs explicit commands
Execution
Active collaboration
Agents decompose and execute tasks
Siloed
Modules don't share state
Data
Unified
One data model across the stack
Expensive to extend
Every new feature = dev work
Extensibility
Continuous evolution
AI capability grows with your business
Side by side: bolted-on vs native
Can competitors copy this?
It requires a full rewrite — 6 to 12 months.
We widen the gap every day.
Dual-mode interaction · Ontology engine · Six-layer safety
Dual-mode — not comfortable talking to AI yet? No problem
Traditional UI · menus / tables / buttons
Switch anytime
AI chat · natural language
Show me all flagged orders from yesterday
Filtered 23 orders, grouped by type ↓
Start with what's familiar. AI is there when you're ready.
Ontology engine — write business logic once
Inspired by Palantir (the $100B+ data platform) core idea: give AI and systems a shared language.
AI learns to call it
No separate training or adapters
Permissions apply automatically
RBAC + row-level isolation
Agents can run it immediately
New capabilities work on day one
41
AI capabilities live today
0
adaptation cost per feature
full business coverage
Reference: Palantir Foundry Ontology
Six-layer safety — AI isn't a black box
AI should take action — but never reckless action. Safety baked into the architecture.
Cognitive safety
AI understands business boundaries via the Ontology — illegal actions blocked at the source
Hard rule enforcement
Unauthorized operations are blocked outright — not "discouraged"
User confirmation
Sensitive actions generate a plan — you approve before it runs
Full audit trail
Every AI action is logged and traceable — who did what, when
Data backup
Auto-backup + rollback — mistakes are recoverable
Role-based access
RBAC + row-level data isolation — only the right people see the right data
Problems are hard to cause by design.
1/50th of a hire, a full-time AI operator · all pricing public on this page
Starter
1–3 person teams · getting started
Billed annually $190save $38
Growth
5–10 person teams · scaling up
Billed annually $490save $98
Business
10+ person teams · deep customization
Billed annually $990save $198
Just want to try it? Free forever plan — full core features, no time limit
Legacy ERP vs TALS: rebuilt from scratch on 7 key dimensions
we'll put them in the contract
Transparent pricing
All pricing is public — no "contact sales", no custom quotes
Cancel anytime
Monthly subscription, 30-day money-back, no annual lock-in
Data freedom
One-click export of all your data — take it with you, always
Today
AI operator
Run daily ops in natural language, let agents handle repetitive work
Tomorrow
AI operating system
Multi-agent collaboration, visual workflow builder, company knowledge RAG, deep ERP bi-directional sync
Future
AI-native interface
Your daily work shifts from "open ERP, click menus" to "tell AI what you want"
We believe
AI doesn't put merchants out of work,
it gives one person
the power of a whole team.
TalsAI eCom Platform · E-commerce that listens
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Or email us directly at block@tals-tech.com