Goal-based ecommerce growth & margin copilot

Turn revenue and margin goals into weekly SKU-channel action plans.

Margilo AI helps ecommerce and consumer brands selling online set revenue or margin goals, check feasibility, diagnose SKU-channel opportunities, generate human-approved recommendations, track execution and measure before/after impact.

Book discussion Open product demo

Built for online-first consumer brandsGrowth-first, profitable growth and margin modesHuman-approved actions

Goal Planner

Goal+25%

Feasibility72/100

SKUs classified80

Feasibility check

Run-rate, budget, SKU depth and margin profile.

Stretch

SKU diagnosis

Growth candidates, leakage, inventory limits and PDP risks.

80 SKUs

Weekly recommendations

Pricing, promo, ad, bundle and channel actions.

Review

Product

Dashboard for truth. Goal Planner for decisions.

The live dashboard explains what is happening across channels and SKUs. The Goal Planner converts a selected business goal into feasible, trackable actions.

Live Dashboard

Unifies revenue, variable costs, contribution margin, orders, AOV, SKU performance, channel performance and SKU × channel economics.

Goal Planner

Lets a team choose growth-first, profitable growth or margin improvement goals and understand whether the target is realistic.

Recommendation Workflow

Creates weekly action cards, tracks whether humans applied them and compares before/after performance.

Who it is for

For brands and teams making weekly ecommerce decisions.

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

Who uses it

Founders and commerce heads who set revenue or margin targets.

Ecommerce, marketplace and category managers who decide SKU-channel priorities.

Growth and performance teams deciding where to allocate spend.

Finance or ops teams supporting margin, inventory and cost visibility.

What it solves

Fragmented revenue, cost and margin visibility across channels.

Unclear feasibility of growth or margin targets.

Manual SKU-level decisions around ads, discounts, bundles, inventory and listing fixes.

Weak tracking of whether recommended actions were applied and whether they worked.

Workflow

From goal to action to impact.

The workflow is the operating loop: set a business goal, test feasibility, diagnose SKUs, review recommendations, track execution and measure impact.

1. Set goalGrowth-first, profitable growth or margin improvement.

2. Check feasibilityTarget realism, budget fit, SKU depth and constraints.

3. Diagnose SKUsClassify all active SKUs into decision buckets.

4. Review actionsPricing, promo, ad, inventory, PDP and bundle recommendations.

5. Track executionHumans mark actions as approved, applied, deferred or not applied.

6. Measure impactBefore/after view of revenue, CM, AOV, spend and returns.

Goal modes

Different brands need different paths.

Margilo AI does not force every brand into the same definition of success. It changes recommendation logic based on the selected goal mode.

Growth-first

Scale revenue and orders

CM is tracked as a trade-off, while recommendations prioritize revenue momentum, order velocity, CAC, inventory and return risk.

Profitable growth

Grow with CM guardrails

Growth recommendations are filtered through contribution margin, discount, ad and channel economics.

Margin improvement

Repair leakage

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

Recommendations

Concrete action cards, not generic AI advice.

Each recommendation is reviewable and human-approved before execution.

Recommendation type

Example action

Why it matters

Growth push

Add ₹18K spend for 7 days on Black Oversized Tee. Expected revenue: +₹60K–₹80K. Stop if CAC crosses ₹260.

Concentrates growth budget on SKUs with demand, inventory and acceptable CAC.

Pricing & promo

Reduce Amazon coupon from ₹100 to ₹50 for 7 days. Expected CM improvement: +₹8K–₹12K.

Repairs margin leakage without blindly cutting growth.

Inventory guardrail

Do not scale Red Hoodie. Inventory cover is 1.4 weeks. Move ₹10K growth spend to Black Tee.

Prevents stockouts and wasted demand generation.

Bundle / AOV

Test Tee + Cap bundle at ₹1,349 for 7 days. Target AOV uplift: +8–12%, CM guardrail: ≥22%.

Improves AOV and contribution margin without blanket discounting.

Data & Trust

Designed for sensitive commercial data.

Margilo AI is designed to work with ecommerce performance data while avoiding unnecessary customer personal data or direct operational control.

Data used for recommendations

SKU-level sales, orders, discounts, returns and refunds.

Ad spend and performance data where available.

Inventory, replenishment timing, COGS or margin guardrails.

Platform fees, shipping, fulfilment and payment costs where available.

Data not required for evaluation

No customer PII is required for product evaluation.

No bank credentials are required.

No automatic write access is required.

No full ERP access is required if relevant reports are sufficient.

Access and data handling

Use the minimum practical data needed to generate dashboards, feasibility checks, recommendations and impact views.

Work with SKU-level, channel-level and cost-level business data wherever possible.

Restrict access to people involved in product delivery and support.

Use data only for the agreed product evaluation, analysis and support purposes.

Operating commitments

Recommendations are decision support and remain human-reviewed before execution.

No automatic write-back to pricing, ad, inventory or marketplace systems unless explicitly enabled.

Commercial data is not sold.

Data retention, deletion and permitted use are handled through the agreed commercial terms.

Product discussion

Want to see how Margilo AI would work for your brand?

Start with a focused goal-planning workflow: business goal setup, SKU-level economics, feasibility check, weekly recommendations, manual action tracking and before/after impact analysis.

Book discussion Open demo

Privacy

Privacy Policy

Last updated: 2 July 2026. This policy explains how Margilo AI handles website enquiries and product evaluation data.

1. Scope

This Privacy Policy explains how Margilo AI handles information collected through the website, product demo, product discussions, evaluation workflows and related communications. It applies to website visitors, people who contact us, brands evaluating Margilo AI, agencies, partners and representatives of businesses that interact with us.

2. Information we may collect

Contact and enquiry information: name, work email, phone number where provided, company name, role, meeting details and messages sent to us.
Business profile information: brand category, sales channels, ecommerce tools, business goals, team role and commercial priorities.
Commerce operating data: SKU-level sales, returns, discounts, inventory, ad spend, fees, fulfilment costs, product information, channel performance and margin guardrails.
Website and demo usage information: high-level interaction data such as pages visited, buttons clicked, browser/device information and referral source, where analytics tools are used.
Communication information: call notes, email threads, meeting summaries and follow-up preferences related to product evaluation or support.

3. Personal data not required for product evaluation

Margilo AI is designed to work primarily with business and SKU-level data. We do not require customer names, customer phone numbers, customer emails, payment card data, bank credentials, government identifiers or unnecessary customer-level personal information to evaluate the product. Brands should avoid sharing customer PII unless it is explicitly required and agreed in writing.

4. How we use information

To respond to enquiries, schedule product discussions and provide requested information.
To understand a brand’s ecommerce goals, channels, data availability and operating context.
To create dashboards, feasibility checks, SKU-channel diagnosis, recommendations, action tracking and impact views.
To troubleshoot data quality issues, mapping issues and inconsistencies across channel exports.
To improve product workflows, recommendation quality, onboarding and support experience.
To maintain records of commercial communication, consent, requests and agreed scope.
To comply with applicable legal, contractual, tax, security or regulatory obligations.

5. Lawful and responsible processing

Where personal data is involved, we aim to process it for clear, limited and relevant purposes connected to enquiries, evaluation, product delivery, communication, security and legal compliance. We ask brands to share only the data they are authorised to share and only the data needed for the agreed purpose.

6. AI and analytics use

Margilo AI may use analytical models, rules, calculations and AI-assisted workflows to classify SKU-channel performance, explain trends, generate recommendations and summarise insights. AI outputs are intended for business decision support and should be reviewed by a human before action is taken.

7. Sharing and service providers

We do not sell customer or commercial data. We may use trusted service providers for hosting, storage, analytics, scheduling, communication, security, development and product operations. These providers may process information only as needed to support the relevant service. Where third-party AI, analytics or infrastructure services are used for a commercial engagement, usage should be consistent with the agreed scope and data handling terms.

8. Data retention

We retain information only for as long as reasonably necessary for the purpose for which it was collected, including communication, evaluation, product improvement, contractual records, legal requirements and dispute prevention. Evaluation datasets may be deleted or returned based on agreed commercial terms or upon a valid deletion request where applicable.

9. Deletion, correction and access requests

You may request access to, correction of, or deletion of personal information that you have shared with us, subject to applicable legal, contractual and security requirements. For brand evaluation data, requests should be made by an authorised representative of the relevant business.

10. Security and access control

Access to evaluation data is limited to people who need it for product evaluation, support, development or agreed commercial work.
We use reasonable technical and organisational measures to protect information from unauthorised access, misuse, loss or alteration.
We prefer business-level, aggregated or SKU-level data over unnecessary personal data.
We do not ask for bank login credentials, payment card details or marketplace passwords.
Security practices may evolve as the product moves from evaluation to production usage.

11. International processing

Some tools or service providers used for hosting, storage, analytics, communication or AI-assisted processing may operate from locations outside your country. Where data is processed internationally, we aim to use appropriate controls and service providers suitable for the nature of the data being processed.

12. Confidential business information

Commercial data such as sales, ad spend, fees, inventory, margin guardrails and SKU performance can be sensitive business information. Such information should be handled according to the agreed commercial scope, confidentiality terms and access permissions between the parties.

13. Children’s data

Margilo AI is a business-to-business product and is not intended for children. We do not knowingly collect children’s personal data through the website or demo.

14. Changes to this policy

We may update this Privacy Policy from time to time to reflect product, legal or operational changes. The updated version will be indicated by the “Last updated” date at the top of this page.

15. Contact

For privacy questions, correction requests, access requests or deletion requests, please use the email link in the website contact section.

Legal

Terms of Use

Last updated: 2 July 2026. These terms cover use of the Margilo AI website and demo.

1. Acceptance of these Terms

By accessing the Margilo AI website, viewing the product demo, booking a discussion, or using any information made available through the website, you agree to these Terms of Use. If you are acting on behalf of a company, you confirm that you are authorised to engage with Margilo AI on that company’s behalf.

2. Website and demo purpose

The website and demo are provided for informational, evaluation and product-discussion purposes. The demo may use representative data, simulated workflows and illustrative recommendations. It does not represent a live customer account unless expressly stated.

3. Product description

Margilo AI is intended to help ecommerce brands with revenue and margin goal planning, SKU-channel diagnosis, recommendation generation, manual action tracking and before/after impact review. Product functionality, design, integrations and workflows may change over time.

4. No guaranteed business outcome

Margilo AI provides analysis, recommendations and decision support. Ecommerce outcomes depend on data accuracy, market conditions, pricing, inventory, execution quality, customer behaviour, platform policy, ad performance, seasonality and other factors outside our control. We do not guarantee revenue growth, margin improvement, profitability, lower CAC, reduced returns or any specific business result.

5. Human review and approval

Recommendations are intended for review by founders, ecommerce managers, category managers, growth teams, finance teams or other authorised business users. Users are responsible for deciding whether to apply a recommendation. Margilo AI does not automatically execute price, ad, inventory, discount, listing or marketplace changes unless expressly agreed in writing.

6. User responsibilities

Provide accurate business context, channel data and constraints where required.
Ensure that you have the right and authority to share any data provided to Margilo AI.
Do not share unnecessary customer personal data, credentials, passwords, payment data or bank access.
Review all recommendations before applying them.
Comply with marketplace rules, advertising policies, consumer protection requirements and applicable laws.
Maintain backups or independent records of business data and actions taken.

7. Data accuracy and recommendation limitations

Recommendation quality depends on the completeness, freshness and accuracy of the data provided. Missing COGS, incorrect SKU mapping, incomplete return data, ad attribution gaps, channel fee changes or inventory mismatch can affect outputs. Margilo AI may flag missing data or low-confidence recommendations, but users remain responsible for verifying critical decisions.

8. Access, integrations and credentials

Any access to business systems, exports, APIs or third-party tools should be authorised by the relevant business. Users should not share marketplace passwords, bank credentials or unauthorised access. If integrations are added, access levels, permissions and data handling should be governed by the relevant commercial arrangement.

9. Acceptable use

Do not misuse, copy, scrape, reverse-engineer or attempt to disrupt the website, demo or product.
Do not upload unlawful, harmful, malicious, infringing or unauthorised data.
Do not use the website or demo to violate marketplace, advertising, privacy, intellectual property or consumer protection rules.
Do not represent Margilo AI outputs as guaranteed financial, legal, tax or accounting advice.

10. Intellectual property

The Margilo AI name, website, demo, interface design, workflows, recommendation structure, copy, visuals and product materials are owned by Margilo AI or its creator unless otherwise stated. You may not copy, resell, reproduce, publish, distribute or create derivative products from these materials without permission.

11. Feedback

If you provide product feedback, suggestions or ideas, Margilo AI may use them to improve the product without obligation to compensate you, provided that confidential business data remains subject to applicable confidentiality commitments.

12. Confidentiality and commercial engagements

Commercial engagements, data sharing, confidentiality obligations, data deletion, permitted use of data, fees, service scope, support and deliverables may be governed by separate written terms, order forms, pilot agreements or NDAs. If separate written terms conflict with these Terms, the separate written terms will apply to that engagement.

13. Third-party services

The website or product may link to or rely on third-party services such as scheduling tools, hosting providers, analytics tools, AI services, ecommerce platforms, ad platforms or marketplaces. Margilo AI is not responsible for third-party websites, platform outages, policy changes, API limitations or actions taken inside third-party systems.

14. Availability and changes

The website, demo and product may be updated, modified, suspended or discontinued at any time. We may change features, design, workflows, integrations, availability or documentation as the product evolves.

15. No warranty

The website and demo are provided on an “as is” and “as available” basis. To the maximum extent permitted by law, we disclaim warranties of accuracy, availability, fitness for a particular purpose, non-infringement and error-free operation.

16. Limitation of liability

To the maximum extent permitted by law, Margilo AI will not be liable for indirect, incidental, consequential, special, exemplary or business-loss damages, including lost profits, lost revenue, lost data, lost goodwill, ad spend loss, marketplace penalties or decisions made based on website or demo outputs.

17. Indemnity

You agree to be responsible for claims, losses or costs arising from your unauthorised data sharing, misuse of the website or demo, violation of third-party rights, breach of marketplace policies, or business actions you take based on your own review and approval of recommendations.

18. Governing law

Unless a separate written agreement states otherwise, these Terms are intended to be governed by the laws of India, subject to applicable mandatory local laws.

19. Changes to these Terms

We may update these Terms from time to time. The updated version will be indicated by the “Last updated” date at the top of this page. Continued use of the website or demo after changes means you accept the updated Terms.

20. Contact

For questions about these Terms, please use the email link in the website contact section.