laplace
KOEN
Commerce data automation · Integrated analytics

Commerce data, fully managed.

Laplace collects, connects and automates your scattered commerce data — orders, inventory, CS and reviews — so you can act on it in near real time.

Near-realtime sync
Total revenue
6.3M
▲ 12.4%
Global revenue
1.4M
▲ 34.2%
Ad ROAS
3.2x
▲ 5.1%
Operating profit
0.98M
▲ 8.1%
Inventory
2.3M
▼ 4.5%
Support tickets
1,284
▼ 9.8%
Multiple data streams in one chartChannel revenue (stacked) + metrics
0306090120050100AprMayJunJulAugSep
ShopifyAmazonShoplineQoo10Ad ROASInventoryOperating marginLeft: revenue ($K) · Right: index
Revenue by countryGLOBAL
USUS
84
GBUK
41
DEGermany
33
JPJapan
17
AUAustralia
9
AI insightsSKU signals
Scented Candle Set
Rising · check stock
+38%
Rattan Basket L
Declining · investigate
−22%
Mini Diffuser
90-day slump · discontinue?
Review
Just now · Shopify: 128 orders collected

Every channel in one place, from your own storefront to global marketplaces

ShopifyAmazonShoplineQoo10Google AdsMetaERP · WMS

Time that should go to strategy is going to data prep.

As SKUs and channels multiply, every team downloads the same data and reapplies the same formulas each day. The decisions that matter get pushed to the end of the list.

XShopify.xlsxTotal $1,240
ABC
1ProductQtyAmount
2A-011283,840
3Total—$1,240
XAmazon_settle.xlsxTotal $1,410
ABC
1ProductQtyAmount
2A-011283,840
3Total—$1,410
XQoo10.xlsxTotal $1,180
ABC
1ProductQtyAmount
2A-011283,840
3Total—$1,180
Same day, different totals

Spreadsheets that never agree

Your team downloads Shopify, Amazon and Qoo10 exports separately and pastes them into their own workbooks. The numbers never match.

Xinventory_manual.xlsx
ABC
1SKUInStock
2Candle Set12082
3Refill Oil60−12
4Hand Cream90#REF!
5Rattan L4034
One missed entry → stockout

Inventory errors from manual entry

Miss one inbound entry and you end up with stockouts or overstock. Your best-seller sells out before anyone notices.

Xweekly_report_final_v7.xlsx
ABC
fx=VLOOKUP(A2,Sheet2!A:D,4,0)
1ChannelRevenueAd Spend
2Amazon=SUMIF(…)=VLOOKUP
3Shopify=SUMIF(…)#N/A
Half a day

Half a day lost to a single report

Building the weekly report takes half a working day. The real decisions — what to push, what to stop — still come down to gut feel.

More people touch the data. Fewer decisions come from it.

Not a dashboard tool. A managed service with a dedicated team.

The Laplace team designs, builds and runs your data pipelines. Five core capabilities turn scattered data into one trusted flow.

FEATURE 01

Automated API data collection

We replace manual downloads and VLOOKUPs with automated API pipelines. Data arrives standardized and validated, and no one has to touch a spreadsheet.

  • API connections, auto-collection and validation
  • Amazon, Shopline, Qoo10, TikTok Shop and more
  • USD, SGD and JPY converted to one currency automatically
Sample data
CHANNELS · APIShopifyUSDAPIAmazonUSDAPIShoplineSGDAPIQoo10JPYAPITikTok ShopUSDAPIRakutenJPYAPILaplace PipelineStandardizeDeduplicateFill gapsValidateUnified orders · in USDShopifyUSD$128,400AmazonUSD$96,200ShoplineSGD→$84,900Qoo10JPY→$71,300TikTok ShopUSD$42,800RakutenJPY→$38,100TotalUSD$461,700
API connectionMulti-currencyAuto FX conversionNo manual downloads
FEATURE 02

Inbound, outbound and inventory in near real time

Inbound, outbound and on-hand stock sit in one view, updated in near real time. Spot stockout and overstock risk before it costs you.

  • On-hand stock vs. safety stock at a glance
  • Days until stockout, plus near-stockout alerts
  • Inbound and outbound in one synced flow
Sample data
Scented Candle Set~21 days leftOK
Rattan Basket L~9 days leftLow
Refill Oil 30ml~4 days leftCritical
Mini Diffuser120+ days leftOverstock
Safety stock threshold
Daily inbound · outboundInOut
Near-stockout alertRefill Oil 30ml · ~4 days left
FEATURE 03

P&L that reflects actual costs

Channel fees, logistics, influencer and ad costs, and operating expenses are all included, so the operating profit you see matches what you actually earn.

  • COGS, channel fees and logistics included
  • Influencer ad costs and operating expenses included
  • Management and accounting views side by side
Sample data
Operating margin
15.6%
100%Revenue−41%COGS−11%Channel fees−7%Logistics−14%Ads & placement−11.4%OpEx15.6%Operating profit

Factor in channel fees, logistics, influencer ad costs and operating expenses to see what you really earn. Switch views to compare.

FEATURE 04

Ontology-based data relationships

An ontology is a map of how your data connects. We define how products, channels, customers, inventory and ads relate, so AI can answer with evidence instead of guesses.

  • 14 data types connected: product, channel, customer, inventory, reviews, ads, ledger, tax, OpEx, global and more
  • AI shows its reasoning, not just a number
  • Accurate analysis even across a large SKU catalog
Sample data
Ontology14 data typesProductChannelCustomerInventoryAdsCOGSReviewsInfluencerLedgerTaxOpExGlobalCSLogistics
Ask the AI
“What's our P&L by global channel?”
Japan · 12.3% gross margin after FX
FEATURE 05

CS and reviews, linked to products

Support tickets and product reviews are linked to specific SKUs and customers, so you see how each product really performs.

  • Star ratings, keywords and ticket types linked to products
  • Early warning when complaint keywords spike for a SKU
  • Analyzed alongside repeat purchases, exchanges and returns
Sample data
Star ratings4.4/ 5.0
5★
58%
4★
22%
3★
9%
2★
6%
1★
5%
Top keywords
great scentfast shippingwill buy againtoo smalldamaged pkggood valuecolor mismatch
Support ticket typeslinked to products
Tickets this month
1,284
Tap for details
Rattan Basket L · “damaged packaging” mentions +41% → linked to return requests for the same product

From collection to AI analysis in 4 steps

The Laplace team designs and runs every stage, from the moment data arrives to the moment it answers a question.

Real commerce questions, answered with data

Product planning, logistics and marketing: the decisions your team makes every day, backed by data.

Product planning

Candle Set
+38%
Refill Oil
+21%
Hand Cream
+9%
Rattan Basket
−22%
Mini Diffuser
−31%
30-day unit sales change
  • Which products drive repeat purchases
  • Where each product's customers buy
  • Rising and declining SKUs
  • SKUs to consider discontinuing

Logistics & inventory

Amazon FBALow
Own WarehouseOK
3PLWatch
On-hand stock vs. safety stock (%)
  • Low-stock and overstocked SKUs
  • Automatic near-stockout tracking
  • SKU-level alerts before stockouts
  • Safety stock analysis

Marketing

Meta
142%
Google Ads
118%
Influencer
76%
TikTok Ads
64%
Contribution-margin ROI by channel (4 channels)
  • Channel and campaign efficiency
  • True P&L after ad spend
  • Influencer ROI in one place
  • Ad efficiency by product, on contribution margin

Built for brands that already know the value of data

ShopifyAmazonShoplineQoo10TikTok ShopLazada+5
SKUs managed
128
Sales channels
11
SKU × channel = 1,408 combos

Multi-channel, multi-SKU brands

Selling on Shopify, Amazon, Shopline and global marketplaces with a growing SKU count that makes manual data work impractical.

AXTData teamFocused on decisions
In-house build
Collection scripts
Schema & data quality
Incident monitoring
Laplace dedicated team
Automated API collection
Standardize & validate
AI-ready data
Less data work

Companies building an in-house data or AI team

You want decisions driven by data but don't have the bandwidth to build and maintain the pipelines yourselves.

XMarketing.xlsx
ABC
1Repeat31%
2——
XOps.xlsx
ABC
1Repeat27%
2——
XFinance.xlsx
ABC
1Repeat24%
2——
Laplace · Single source of truth
Same definition, same number
27.4%
Aligned

Teams that each keep their own numbers

Marketing, ops and finance keep separate spreadsheets and report different numbers for the same week.

Laplace stays with you from onboarding through ongoing operations.

Dedicated team included

Analytics Pro

Pro plan

Pricing depends on your channel count, SKU volume and integration scope. Contact us for a quote.

  • Dedicated team for pipeline design and setup
  • Automated API collection and integration
  • Near-real-time inbound, outbound and inventory
  • Gross profit and P&L reporting
  • Ontology-based AI analysis
  • Ongoing operations and regular reviews
Get a quote

Who it's for

As a dedicated managed service, Analytics Pro fits brands that have reached a certain scale.

  • Multi-channel, multi-SKU commerce brands
  • Companies with separate merchandising, ops, marketing and logistics teams
  • Teams with a clear need for data automation and integration
  • Companies building an in-house data or AI team

We start with a short diagnostic call to confirm fit before any commitment.

Frequently asked questions, answered up front.

Still have questions? Contact us anytime — we will tailor the guidance to how you plan to adopt Laplace.

Analytics Pro aims to replace every recurring manual download and spreadsheet formula with automated API pipelines. A few edge cases still need human review, and Laplace designs each pipeline to keep that work to a minimum.

Onboarding time depends on how many channels you sell on and how complex your data is. Laplace builds the core pipeline first and expands from there, and confirms an exact timeline during the initial consultation.

Analytics Pro connects via API to Shopify, Amazon, Shopline, Qoo10 and other global marketplaces, as well as ERP and WMS systems. Channels without a standard API are reviewed case by case.

Laplace stores customer data with access controls that keep each tenant isolated. Your security requirements are reviewed together with the Laplace team during onboarding.

Analytics Pro works alongside your BI tool rather than replacing it. It isn't a dashboard tool — it's a managed service that handles data collection, cleaning and structuring upstream, then feeds your existing BI tool consistent, reliable data.

Let Laplace handle the analysis.
You focus on strategy.

Try Laplace free for up to 3 weeks, with every feature included.