Built for multi-channel ecommerce brands

Hit your revenue or margin goal — SKU by SKU, channel by channel.

Margilo AI is a goal-based revenue and margin copilot. Set a growth or profitability goal, define your Contribution Margin guardrails, and get weekly SKU-channel recommendations until the goal is reached.

No automatic price changes. No black-box actions. Recommendations become approved tasks for your team to execute.

Goal Planner · Active goal
Balanced revenue + margin growth

90-day goal plan

Grow revenue by 18% while keeping CM above 24%.

On track
Revenue progress
47%
+₹18.4L unlocked
CM guardrail
26.8%
+2.1 pts vs floor
Actions approved
9/14
This cycle
Day 0Day 30Day 60Day 90

Push Vitamin C Serum on Amazon

Healthy margin, rising demand, enough inventory. Increase visibility budget by ₹50K.

+₹3.2L rev

Reduce Shopify storefront discount from 25% to 15%

Sales are growing, but promo leakage is dragging contribution margin.

+4.6 pts CM

Bundle Face Wash + Toner at ₹999

Protect AOV and move inventory without deep SKU-level discounting.

Medium risk
The problem

Every week, teams chase growth without knowing which growth is profitable.

Your ecommerce data exists, but the decision layer is missing. Sales are in one place, ad spend in another, returns elsewhere, inventory inside an OMS, and Contribution Margin usually lives in a spreadsheet.

“The hard question is not what sold yesterday. The hard question is what to push next week without destroying margin.”
The expensive part

Bad SKU-channel decisions quietly eat margin.

These are not dashboard problems. They are operating decisions that need context, guardrails and a weekly action loop.

Discounts that grow revenue but leak CM

A SKU looks healthy on sales, but platform fees, returns and promos make the growth unprofitable.

Ad spend flowing to weak-margin SKUs

Campaigns keep scaling SKUs where Contribution Margin cannot support the spend.

Wrong SKU pushed on the wrong channel

One channel can be a growth engine while another is a margin trap for the same product.

Inventory sits where demand is weak

Brands discount too late because inventory, channel demand and margin are not seen together.

Bundles are guessed, not planned

Teams create offers manually instead of using SKU affinity, AOV and margin guardrails.

Weekly reviews end with more spreadsheets

Everyone sees the numbers. Nobody leaves with a clear, accountable action queue.

Meet Margilo AI

The Goal Planner is the product. The dashboard is the support system.

Margilo AI turns business goals into weekly SKU-channel actions. The live dashboard shows what is happening. The Goal Planner decides what to do next, tracks progress, and refreshes recommendations until the goal is achieved.

Revenue growthMargin improvementBalanced growth
Weekly recommendation cycle

This week’s plan

Plain-language recommendations with expected revenue, margin impact and risk.

Week 3 of 12

Margilo AI — Goal Update

Push: Hair Serum on Amazon

Demand up 19%, CM at 31%, inventory safe. Increase visibility budget by ₹50K. Est. +₹3.8L revenue.

Protect: Vitamin C Serum on Shopify

Revenue is growing, but promos are dragging CM below guardrail. Reduce discount from 25% to 15%. Est. +4.6 pts CM.

Bundle: Face Wash + Toner

Use bundle at ₹999 to lift AOV and move inventory without deep discounting individual SKUs.

What you get

Three layers working together.

Not another profit dashboard. A workflow for setting targets, choosing the right commercial actions and tracking whether those actions are moving the business.

01

Goal Planner

Select revenue growth, margin improvement or balanced growth. Set target, time frame and CM guardrails. Margilo AI converts the goal into a weekly action plan.

02

Weekly Action Queue

Get specific SKU-channel recommendations: pricing, discounts, bundles, ad visibility, inventory movement and margin guardrails.

03

Live Dashboard

See company, channel, SKU and SKU × channel performance with Contribution Margin and variable-cost breakdowns.

Live dashboard

One business truth behind every recommendation.

The dashboard is there when your team wants to dig into the “why” behind every action.

Channel view

Compare every sales channel on revenue, variable costs and Contribution Margin without locking the product to any one geography or platform.

SKU view

Top and underperforming SKUs with variable-cost details and CM trend.

SKU × channel

Find where the same SKU performs profitably — and where it leaks margin.

Ask Mira

Ask diagnostic questions and get recommendation-style answers in plain language.

Shopify
Revenue · Last 30 days
+14.2%
Channel B
CM below guardrail
-3.8 pts
Vitamin C Serum × Shopify
Promo leakage detected
Review
Hair Serum × Amazon
Growth candidate
Push
Face Wash + Toner
Bundle opportunity
Create offer
Data connected

Commerce, ads, costs and inventory in one planning layer.

Where direct integrations exist, we connect. Where marketplace APIs are limited, reports can be shared or uploaded during the pilot. The goal is not perfect automation on day one — it is decision-quality data for better weekly actions.

Where you sell

  • Shopify / owned ecommerce storefront
  • Amazon and other global marketplaces
  • Retail / commerce partners, where relevant

How you spend

  • Paid ad platforms
  • Amazon / marketplace media spends
  • Affiliate / creator spend, where relevant

What it costs

  • COGS
  • Platform fees
  • Shipping, returns and promos

What is available

  • Inventory
  • Stock risk
  • SKU-channel availability
How it works

From messy data to weekly commercial decisions.

1

Discovery call

We understand your channels, SKUs, current growth goal and margin constraints.

2

Connect data

Read-only integrations where possible; report-sharing or managed uploads where APIs are weak.

3

Set the goal

Choose revenue growth, margin improvement or balanced growth with a 30/60/90-day horizon.

4

Act weekly

Review, approve and execute recommendations until the goal is reached.

Built to be trusted

Human-approved, margin-aware and clear about assumptions.

Read-only by default

Margilo AI does not change your prices, listings, ads or marketplace settings without explicit human approval.

Measured vs estimated

Numbers from your source data are separated from estimates, assumptions and modelled impact.

Operator-first

Recommendations are written as tasks your ecommerce, marketplace or growth team can actually execute.

Pilot programme

Looking for founding commerce brands.

Best fit: brands selling across at least two ecommerce channels, with enough SKU/channel complexity that revenue growth and Contribution Margin decisions are no longer obvious from a spreadsheet.

Book a free call →