Decision Intelligence for e-commerce

Turn revenue and margin goals into weekly SKU × channel actions.

Margilo AI is a digital commerce copilot for brands. Set a goal — it checks whether it's actually feasible, diagnoses every active SKU across your channels, and puts a reviewable, human-approved action plan in front of your team each week. Then it measures what changed.

Online-first consumer brands Growth · Profitable growth · Margin modes Every action human-approved
Goal Planner WK 27 · JUL 2026
Goal +25%
Feasibility 72/100
SKUs classified 80
PUSH Scale Black Tee on Meta — +₹40K/wk retargeting. Stop if CAC crosses ₹520.
GUARD Don't scale Red Hoodie — 1.4 wks inventory cover. Reallocate spend.
REPAIR Cut Amazon coupon ₹800 → ₹400. Expected CM +₹48–72K over 7 days.
3 of 9 actions shown Awaiting review · You approve, Margilo tracks
01Productdashboard · planner · workflow

A dashboard for truth. A planner for decisions.

The live dashboard explains what's happening across channels and SKUs. The Goal Planner converts the goal you choose into feasible, trackable actions.

LIVE DASHBOARD

One view of your real economics

Revenue, variable costs, contribution margin, orders, AOV, and SKU × channel economics — unified, so every decision starts from the same numbers.

GOAL PLANNER

Know if the target is realistic

Choose growth-first, profitable growth or margin improvement — then see whether the target fits your run-rate, budget, SKU depth and margin profile before you chase it.

RECOMMENDATION WORKFLOW

Actions that get tracked, not lost

Weekly action cards your team approves, applies or defers — with a before/after view of what each one actually did to revenue, CM and AOV.

02Who it's forD2C · marketplaces · multi-channel

For teams making weekly ecommerce decisions.

Margilo AI is built for consumer brands selling through their own website and marketplaces that need a clearer way to decide what to push, repair, price, bundle or pause.

WHO USES IT
  • Founders and commerce heads who own revenue or margin targets.
  • Ecommerce, marketplace and category managers deciding SKU-channel priorities.
  • Growth and performance teams allocating spend.
  • Finance and ops teams who need margin, inventory and cost visibility.
WHAT IT SOLVES
  • Revenue, cost and margin data fragmented across channels.
  • Growth or margin targets set without a feasibility check.
  • Manual SKU-level calls on ads, discounts, bundles, inventory and listings.
  • No record of whether recommended actions were applied — or worked.
03Workflowthe weekly operating loop

From goal, to action, to measured impact.

One operating loop, run every week: set the goal, test feasibility, diagnose SKUs, review recommendations, track execution, measure impact.

1

Set goal

Growth-first, profitable growth or margin improvement.

2

Check feasibility

Target realism against run-rate, budget, SKU depth and constraints.

3

Diagnose SKUs

Every active SKU classified into clear decision buckets.

4

Review actions

Pricing, promo, ad, inventory, PDP and bundle recommendations.

5

Track execution

Your team marks actions approved, applied, deferred or skipped.

6

Measure impact

Before/after view of revenue, CM, AOV, spend and returns.

04Goal modessame data · different logic

Different brands need different paths.

Margilo doesn't force every brand into one definition of success. The recommendation logic changes with the goal mode you pick.

GROWTH-FIRST

Scale revenue and orders

Recommendations prioritise revenue momentum, order velocity, CAC, inventory and return risk — with contribution margin tracked as a visible trade-off.

PROFITABLE GROWTH

Grow with CM guardrails

Growth moves are filtered through contribution margin, discount, ad and channel economics before they reach your review queue.

MARGIN IMPROVEMENT

Repair the leakage

Surfaces high-revenue, low-CM SKUs, discount leakage, ad waste, return-heavy SKUs and price-repair opportunities.

05Recommendationsreviewable · specific · bounded

Concrete action cards, not generic AI advice.

Every recommendation names the SKU, the channel, the amount, the expected range and the stop condition — and waits for a human to approve it.

Growth pushPUSH

Add ₹50K Meta retargeting, ₹65K prospecting and ₹40K Google Shopping for 7 days. Expected revenue: +₹4.5–6L. Stop if CAC crosses ₹520/order.

Why it matters — concentrates growth budget on SKUs with real demand, inventory cover and acceptable CAC.

Pricing & promoREPAIR

Reduce the Amazon coupon from ₹800 to ₹400 for 7 days. Expected CM improvement: +₹48–72K.

Why it matters — repairs margin leakage without blindly cutting growth.

Inventory guardrailGUARD

Do not scale Red Hoodie — inventory cover is 1.4 weeks. Move ₹40K of growth spend to Black Tee.

Why it matters — prevents stockouts and wasted demand generation.

Bundle / AOVPUSH

Test a Tee + Cap bundle at ₹1,299 for 7 days. Target AOV uplift: +8–12%, CM guardrail: ≥22%.

Why it matters — lifts AOV and contribution margin without blanket discounting.

06Data & trustminimum data · no write access

Designed for sensitive commercial data.

Margilo works with ecommerce performance data — and deliberately avoids customer personal data and direct operational control. It starts with your channel exports; deeper integrations are added during pilots.

DATA USED FOR RECOMMENDATIONS
  • SKU-level sales, orders, discounts, returns and refunds.
  • Ad spend and performance data where available.
  • Inventory, replenishment timing, COGS and margin guardrails.
  • Platform fees, shipping, fulfilment and payment costs where available.
NOT REQUIRED FOR EVALUATION
  • No customer PII.
  • No bank credentials or marketplace passwords.
  • No automatic write access to your systems.
  • No full ERP access if the relevant reports are enough.
ACCESS & HANDLING
  • The minimum practical data needed for dashboards, feasibility and impact views.
  • SKU-level, channel-level and cost-level business data wherever possible.
  • Access restricted to people involved in delivery and support.
  • Data used only for the agreed evaluation, analysis and support purposes.
OPERATING COMMITMENTS
  • Recommendations are decision support — always human-reviewed before execution.
  • No automatic write-back to pricing, ad, inventory or marketplace systems unless explicitly enabled.
  • Commercial data is never sold.
  • Retention, deletion and permitted use handled through agreed commercial terms.
Product discussion

See how Margilo would plan your next quarter.

A focused walkthrough with your context: goal setup, SKU-level economics, feasibility check, weekly recommendations and before/after impact — no live data required to start.