E-Commerce
Data Agent for E-Commerce

Every platform.
Every metric.
One conversation.

Connect your stores, ad accounts, and payment processors. Ask "what's my real profit by SKU" and get the answer in seconds — not after a Friday afternoon in spreadsheets.

Try free with your data See what it does
The problem

Your data is everywhere. Your answers are nowhere.

Orders in Shopify. Ad spend in Meta. Shipping costs in ShipStation. COGS in a spreadsheet you updated last month. You sell on three platforms but can't answer the simplest question: "Am I making money on this product?"

01

Data is scattered across 5+ dashboards

Shopify has orders. Amazon has its own. TikTok Shop is another tab. Your ad platforms don't talk to your store. Every morning starts with 20 minutes of tab-switching before you know how yesterday went.

02

Profit is a mystery until month-end

Revenue is easy to see. But subtract COGS, platform fees, ad spend, shipping, returns, and currency conversion — and the real margin on each SKU is a number most sellers never actually calculate until it's too late.

03

Analytics tools cost more than your ad budget

Triple Whale starts at $129/mo — for Shopify only. Polar Analytics is $300+. Daasity is $199+. And none of them let you ask a question they didn't pre-build a dashboard for.

26 connectors

Every platform you sell on. Connected in minutes.

One-click OAuth for most platforms. API key for the rest. Or just drag in a CSV — the agent figures out the schema. Your data syncs automatically and stays up to date.

Stores
ShopifyAmazonTikTok ShopeBayEtsyWalmartLazadaWooCommerceBigCommercebol.com
Advertising
Google AdsMeta AdsTikTok AdsAmazon AdseBay Marketing
Payments
StripePayPalAdyenAirwallex
Shipping
ShipStationEasyshipDHL
Support
GorgiasZendesk
Analytics
GA4PostHogGoogle Search Console
How it works

From scattered data to daily decisions in three steps.

1

Connect

Link your store, ad accounts, and payment processor. Or upload exports — the agent handles CSV, Excel, and JSON. Data syncs incrementally, so you're always current.

Shopify Amazon SP TikTok Shop Meta Ads Google Ads Stripe CSV / Excel
2

Ask

Ask in plain language. The agent writes SQL, runs Python analysis, and generates charts — without you touching a formula. It knows e-commerce metrics: GMV, AOV, ROAS, LTV, cohort retention, sell-through rate.

"What's my true ROAS by campaign after returns?" "Which SKUs are profitable on Amazon but losing money on Shopify?" "Build a cohort retention chart by acquisition channel."
3

Keep

Pin the analysis as a live dashboard, a reusable script, or a scheduled report. It refreshes automatically — your Monday morning report is ready before you open your laptop.

Operations dashboard Weekly P&L report Inventory alert Ad performance tracker
In action

Two sellers. Two real problems. Solved in minutes.

These aren't hypotheticals. They're the questions e-commerce teams ask every day — and the answers they usually don't get until month-end close.

09:15 · Monday morning
Rachel Kim
Founder of a DTC beauty brand
selling on Shopify + Amazon

Rachel sells 80 SKUs across two platforms. She knows her top-line revenue — but after platform fees, ad spend, COGS, and shipping, she suspects some bestsellers are actually losing money. She connects both stores and uploads her COGS spreadsheet.

What she keptA live profit dashboard by SKU and platform, refreshed daily.
brand-ops · profit analysis
Monday · 09:15
Rachel Kim
I connected Shopify and Amazon. Here's my COGS sheet. Show me net profit by SKU for last month — include platform fees, shipping, and ad spend from Meta.
cogs_2026_q1.xlsx · 80 SKUs · unit cost + packaging
Tablize
✓ sql.query · join shopify_orders + amazon_sp_orders + meta_ads_campaign_insights + cogs 380 ms
✓ python.analyze · per-SKU P&L: revenue - COGS - fees - shipping - ad_spend 1.4 s
Here's your profit breakdown. Top 5 and bottom 5 SKUs by net margin:
SKURevenueTotal CostNet ProfitMargin
Glow Serum 30ml$18,400$11,040$7,36040.0%
Hydra Cream 50ml$12,100$7,623$4,47737.0%
Lip Balm Set$9,800$6,664$3,13632.0%
Eye Patches 12pk$6,200$5,828$3726.0%
Travel Kit Mini$4,100$4,469-$369-9.0%
12 of your 80 SKUs have margins below 10%. Three are negative — the Travel Kit Mini loses $369/month after Amazon FBA fees and Meta spend are included. The Eye Patches break even only because of Shopify direct; they're -18% on Amazon due to higher fulfillment costs.
Rachel Kim
I had no idea the Travel Kit was losing money. Break it down — where does the cost go?
Tablize
✓ sql.query · cost breakdown for SKU travel-kit-mini 95 ms
Cost breakdown for Travel Kit Mini ($4,100 revenue):
COGS
$1,886 (46%)
Amazon FBA
$1,230 (30%)
Meta Ads
$820 (20%)
Shipping
$533 (13%)
FBA fees are $1,230 — 30% of revenue. The kit's packaging dimensions push it into a higher fee tier. Options: reduce packaging size, move to FBM for this SKU, or raise the price.
16:00 · Wednesday
David Park
Ad buyer for a TikTok Shop
spending $3K/mo on ads

David runs Google Ads, Meta Ads, and TikTok Ads for the same product line. Each platform claims great ROAS — but his bank account disagrees. He connects all three ad platforms plus TikTok Shop to find out where the money actually goes.

What he keptA live ad efficiency tracker with auto-alerts for ROAS drops.
ad-ops · cross-platform ROAS
Wednesday · 16:00
David Park
I connected TikTok Shop, Google Ads, Meta Ads, and TikTok Ads. Show me actual ROAS by platform — not what each platform self-reports, but real orders divided by real spend.
Tablize
✓ sql.query · aggregate google_ads + meta_ads + tiktok_ads spend by campaign 210 ms
✓ sql.query · match tiktok_shop_orders against ad campaigns by UTM + date 340 ms
✓ python.analyze · blended ROAS calculation + platform comparison 890 ms
Cross-platform ad performance (last 30 days):
PlatformSpendSelf-Reported ROASActual ROASGap
TikTok Ads$1,2004.8x3.1x-35%
Meta Ads$1,1003.5x2.4x-31%
Google Ads$7005.2x4.6x-12%
Google Ads has the smallest self-report gap (12%) and highest actual ROAS. Meta has the worst efficiency — $1,100 spend for $2,640 actual revenue. TikTok overstates by 35% but still beats Meta on absolute returns.
David Park
Set up an alert: if any platform's actual ROAS drops below 2x for 3 consecutive days, notify me immediately.
Tablize
✓ watch.create · monitor ad ROAS daily, threshold < 2.0x for 3 days 120 ms
Watch created. I'll check daily and alert you if any platform's 3-day rolling actual ROAS drops below 2.0x. You can manage this watch from the sidebar anytime.
Capabilities

Six things every seller needs.
All through conversation.

No dashboards to configure. No spreadsheets to maintain. Tell the agent what you need — it pulls the data, runs the analysis, and delivers the answer.

01
Profit by SKU

The number your spreadsheet can never keep up with.

Revenue from Shopify. COGS from your Excel. Ad spend from Meta and Google. Platform fees from Stripe. Shipping from ShipStation. The agent joins all five sources, subtracts every cost, and shows you profit per SKU — updated every sync. No more end-of-month surprises.

Try this prompt "Show me net profit margin by SKU for the last 30 days. Include COGS, ad spend, platform fees, and shipping. Flag anything below 15%."
sql.querypython.analyzeapp.dashboard
02
Cross-platform comparison

Amazon, Shopify, TikTok Shop — in one table.

Same product, three platforms, three dashboards, three definitions of "revenue." The agent normalizes everything — currency, fee structures, refund handling — and gives you a single view. Sort by platform margin, spot where you're underpriced, and decide where to allocate inventory.

Try this prompt "Compare my top 20 SKUs across Amazon and Shopify. Show revenue, units sold, return rate, and net margin side by side for each platform."
sql.querypython.analyzeapp.dashboard
03
Ad ROI across channels

Every ad dollar, every platform, one truth.

Google Ads says 5x ROAS. Meta says 4x. TikTok says 6x. Add them up and it's more than your actual revenue. The agent pulls spend from all three, joins it against real orders, and gives you the blended picture — by campaign, by SKU, by day. No more arguing about attribution.

Try this prompt "Pull my Google Ads, Meta Ads, and TikTok Ads spend for last month. Join against actual orders and show me true ROAS by campaign. Which campaigns should I kill?"
sql.querypython.analyzeapp.dashboard
04
Inventory alerts

Never stockout on your best seller again.

The agent watches your inventory levels against your sell-through rate. When a SKU drops below your safety threshold — whether it's in Shopify, Amazon FBA, or both — you get a notification. Set it once, forget it runs.

Try this prompt "Monitor all SKUs. Alert me when any SKU has less than 7 days of inventory based on its 14-day average daily sales."
sql.querywatch.createnotify
05
Customer cohorts

Which customers come back — and which never do.

Upload your order history or connect Shopify. The agent builds cohort retention curves by acquisition month, source, and first-purchase category. See which campaigns bring one-time buyers and which build repeat customers — then shift your budget.

Try this prompt "Build a monthly cohort retention analysis from my Shopify orders. Show me the repeat purchase rate by acquisition month and by first-purchase product category."
python.analyzesql.queryapp.dashboard
06
Automated reports

The weekly report that writes itself.

Monday morning: revenue vs last week, top and bottom SKUs, ad spend efficiency, inventory warnings, refund rate by product. Configured in one conversation, delivered on schedule. Your team opens it, you move on to decisions.

Try this prompt "Every Monday at 8 AM, generate a weekly report: GMV trend, top 10 SKUs by profit, worst 5 by margin, ad ROAS by channel, and any inventory alerts. Save it as a report."
script.savejob.schedulereport.save
How it
compares

Broader coverage. Deeper analysis.
A fraction of the price.

Most e-commerce analytics tools lock you into pre-built dashboards for one platform. Tablize connects everything and lets you ask anything.

Tablize Triple Whale BeProfit Daasity Julius AI
Platform coverage 12 platforms + 5 ad channels Shopify only Shopify + Amazon Multi-channel Manual upload
AI analysis Ask anything in plain language Limited (Moby) None Limited Strong
Custom analysis Any question, any dimension Pre-built dashboards Pre-built dashboards Configurable reports Any question
Automated alerts Watch system (any SQL condition) Basic alerts None Email alerts None
Scheduled reports Agent-generated, any format Weekly email Email reports Scheduled reports None
Data persistence Full database + history Platform storage Platform storage Snowflake warehouse Session only
Starting price $20/mo $129/mo $49/mo $199/mo $37/mo
Where it fits

The analyst between
your platforms
and your decisions.

Tablize doesn't replace your ERP or your ad platform. It sits between all your data sources and your decisions — unifying, analyzing, and reporting so you can act on real numbers instead of guessing.

Your platforms Shopify, Amazon, TikTok Shop, Meta Ads, Google Ads, Stripe, ShipStation
syncs into
Tablize AI agent + 26 connectors + unified database + automated reports
delivers
Your decisions Kill that campaign. Raise this price. Restock before Friday. Cut that SKU.
Who it's for

If one of these sounds like you.

Solo seller 1 person, $10K–$100K/mo GMV

You run the whole show — sourcing, listing, ads, fulfillment. You don't have time to build spreadsheets. Connect your store and ad accounts, and the agent becomes the analyst you can't afford to hire. Ask it anything, get answers in seconds.

Multi-platform operator 2–5 people, Amazon + Shopify + TikTok

You sell on three platforms and your data lives in three different dashboards. Tablize connects all of them and gives you one source of truth — profit by SKU across every channel, ad spend vs revenue unified, inventory across all warehouses.

DTC brand founder Funded or bootstrapped, growth stage

Your investors want MRR, LTV, CAC payback. Your ops team wants inventory forecasts. Your ad buyer wants channel-level ROAS. The agent speaks all three languages from the same data — no more translating between spreadsheets.

E-commerce agency Managing 5–20 client stores

Every client needs a weekly performance report. Same structure, different data. Set up the report template once as a saved script — then connect each client's store and rerun it. What used to take Friday afternoon now takes five minutes per client.

Get started

Connect your store.
Ask what you've always
wanted to know.

Link Shopify or upload last month's orders. Ask for your real profit by SKU. See the answer in two minutes — and decide if that changes how you run your business.

Try free with your data See pricing