
We help restaurants run delivery like e-commerce—with structure, predictability and profitability—through our 10 Pillar FECOM Framework
India moves ₹6,000 crore every month—approximately $9 billion per year—in food delivery. Yet this represents only a fraction of what's possible. China, with a similar population density, operates at roughly $60 billion annually, making it 6–7 times larger than India's current market.
The gap isn't about awareness. Indians are familiar with delivery apps. The real opportunity lies in frequency. People eat 90–120 times per month, yet the average Indian orders delivery only 3–4 times. Bridging this frequency gap could unlock exponential growth.
Denser logistics, wider coverage, seamless payments and improved UX reduce friction and make ordering more accessible across cities and neighborhoods.
Stronger value propositions—menus designed for delivery, quality at scale, variety and availability, perceived affordability, reliable and faster SLAs and trustworthy brand cues—drive repeat behavior.
Delivery has emerged as the largest growth engine for many restaurant brands—and paradoxically, the least controllable. What was once a supplementary channel now drives the majority of revenue, yet operates behind opaque algorithms and unpredictable platform dynamics.
Daily swings remain opaque. Store visibility and ranking sit behind black-box marketplace algorithms. Minor UI changes, fee adjustments, or policy shifts ripple unpredictably through your outcomes.
Roughly 80% of delivery revenue sits with two aggregators. Single-party decisions can affect revenue, ratings and contribution margins overnight—especially for multi-city chains with complex operations.
Without a shared methodology, teams default to ads and discounts to "buy" demand. Weak attribution leads to cannibalized organic orders, higher customer acquisition costs and persistent margin compression.
There's rarely a formal Head of E-commerce (Delivery) role with clear KPIs, decision rights and meeting rhythms. Firefighting replaces systematic planning, and learnings don't compound across quarters.
Leadership bandwidth shifts away from building sustainable strengths—menu optimization for delivery, packaging innovation, prep-time improvements, ratings hygiene, loyalty flows—toward constantly decoding platform mechanics.
Bottom line: Brands aren't in the driver's seat of their own delivery growth. What's missing is a neutral, data-anchored framework that restores control and creates predictable outcomes.
India's food delivery market spans approximately ₹72,000 crore annually across roughly 100,000 restaurants. Yet a striking concentration exists: the top ~100 brands—merely 0.1% of participants—account for ₹1,200 crore per month, representing 20% of the entire market.
This Pareto distribution creates a unique strategic opportunity. If this elite set installs a common framework—encompassing data hygiene, planning discipline, ROI guardrails and structured platform collaboration—it creates a validated template that the remaining 99,000 restaurants can adopt and adapt.
Deploy the FECOM Framework with 5–10 national and regional key accounts. Demonstrate predictable growth, margin discipline, and operational control.
Transform learnings into standardized tools, playbooks, training modules and certification programs that can scale beyond bespoke consulting.
Productize the system into lighter-weight, DIY implementations accessible to mid-market and emerging chains, democratizing delivery excellence.
Solve the 0.1% → unlock 20% of market value → export proven methods to the 99.9%. This approach transforms delivery from an art practiced by a few into a science accessible to many.
When Google Ads scaled globally, it didn't happen through platforms alone. Neutral agencies—Madison, iProspect, and others—became the connective tissue. They evangelized best practices, trained advertisers, built playbooks and tools, and created feedback loops that improved the ecosystem for everyone.
Food delivery in India needs the same connective tissue: a pro-ecosystem, non-partisan partner that sits between restaurants and marketplaces, creating value for both sides without favoring either.
Clear role definitions, KPI frameworks, meeting cadences, and decision rights that eliminate ambiguity and create accountability.
Planning models, BI dashboards, automated root-cause analysis, and governance systems that make data actionable and decisions faster.
Structured reviews and Joint Business Plans (JBPs) with platform partners, reducing escalations and creating productive collaboration.
Aggregate problem statements from multiple brands; advocate for standards, APIs, and policies that benefit the entire ecosystem.
Digital Advertising Model:
Google <—> Agencies <—> Advertisers
Food Delivery Model:
Marketplaces <—> M2Oc <—> Restaurants
Turning chaos into consistency. The FECOM Framework is a comprehensive, data-anchored framework that makes delivery measurable, forecastable and governable. Each pillar builds on the previous, creating a reinforcing system that compounds learning and improves outcomes quarter over quarter.
A complete framework that transforms delivery from reactive firefighting to proactive, strategic growth management. These pillars work together to create predictability, protect margins and compound learnings across your organization.
Automated ingestion, cleansing and warehousing with a common KPI dictionary.
Weekly, fortnightly, monthly and quarterly review rhythms with clear owners.
External compass showing where you stand vs. comparable brands by cuisine, ACV, and region.
Forecasts that separate organic and inorganic contributions with seasonality and event overlays.
Always-on efficiency plus burst campaigns, governed by ROAS and CAC guardrails.
Elasticity-tuned base offers plus retention CRM, with margin protection and cannibalization checks.
Root-cause analysis that isolates drivers across ads, discounts, menu, ops, ratings and externalities.
Strategic zoom-out separating structural shifts from short-term noise across months and cities.
Rolling pipeline of needle-moving projects with named owners, timelines and ROI hypotheses.
Core doctrine that institutionalizes the model with role definitions, KPI trees, templates and training.
Promise: From guesswork to governance—so scale becomes sustainable, repeatable and transferable across brands and geographies.
Ad-hoc reviews and month-end scrambles create whiplash. Priorities shift weekly. Owners are unclear. Escalations waste platform goodwill. Learnings evaporate because there's no consistent forum to capture, debate, and apply them. The FECOM governance calendar replaces chaos with rhythm.
Focus: Review last week's order performance against targets; identify and understand performance gaps.
Actions: Deep-dive into variances, assign corrective actions and review issue logs.
Focus: Ad and discount performance reviews vs. ROAS and unit economics
Actions: CRM and retention experiments, cannibalization checks, platform co-marketing alignment
Focus: Target vs. actuals reconciliation and variance deep-dives
Actions: Corrective action assignment, new initiative approval, budget vs. forecast adjustments
Focus: Joint Business Planning sessions with Swiggy, Zomato, and other platforms
Actions: City/category growth plans, experiment roadmaps, policy asks, data fixes, co-authored targets
Every meeting has defined roles: brand lead, operations lead, finance controller, platform POCs. Pre-reads are standardized. Minutes are captured with action items, owners, and due dates. Nothing falls through the cracks.
A Reverse-presentation (Rev-P) is a confidential, in-person session where brand leadership immerses channel partners in its core values and strategic vision. It shares ambitious future plans, cultivating deeper relationships for robust alignment and mutual growth.
These meticulously designed sessions transform partnerships by:


Process ribbon
Rev-P → JBP → Weekly Ops → Monthly Actuals → Quarterly Reset




*Photo used with permission. Names and titles as of the event date.
Without an external reference point, teams operate in a vacuum. Is 10% of GCV on ad spends high or low? Is 15% M2O competitive for your cuisine and format? Are you genuinely outperforming, or are peers simply spending less? The peer benchmarking system provides the answer.
Ambition becomes anchored to market reality. Targets gain credibility because they're rooted in competitive context. Trade-offs become explicit: "To match the top quartile on repeat rate, we'd need to increase retention spend by X%, which would compress contribution by Y%."
Investment decisions are no longer shots in the dark. You know where you stand, where you can win, and what it will cost to get there.
Most delivery "targets" are little more than last month's actuals plus gut feel. There's no common methodology to split organic from inorganic contributions. Holidays and events aren't modeled consistently. City and store realities—new openings, local competition, supply constraints—get ignored until they cause a miss.
Explicit separation of organic baseline and inorganic contributions from ads, discounts and promotions. Know what you'd earn without spending and what each rupee of investment is truly buying.
Model known patterns—festive spikes, weather impacts, sporting events, local holidays—so forecasts reflect reality rather than straight-line extrapolation.
Bake expected lift from planned initiatives—new menu launches, packaging changes, SLA improvements—into the forecast with confidence intervals.
Track actuals vs. plan every day. Route meaningful variances directly to the automated RCA system. Roll up to weekly and monthly governance with clear action owners.
The Problem: Spend grows faster than outcomes. Incrementality is weak—you're paying for orders that would have happened organically. Bids and creatives aren't tested systematically. CAC climbs while new-user mix stagnates.
Store/city/category-level efficiency management—bid optimization, placement selection, share-of-voice discipline.
Targeted bursts focused on new-user acquisition with LTV-based bidding and reactivation campaigns.
Stop-loss triggers and bid/product test frameworks to prevent wasteful spending.
The Problem: Deep discounts train customers to wait for deals, eroding margins and devaluing your brand. Without clear guardrails, discounts become a race to the bottom.
Tuned to price elasticity—segmenting customers by their sensitivity to price and offering just enough discount to convert without giving away margin.
CRM-driven offers based on RFM (Recency, Frequency, Monetary) cohorts—personalized incentives to drive repeat purchases, not first-time conversions.
With ROI gates. Know the true cost of each discount, and only deploy those that meet your contribution margin thresholds.
When targets miss or unexpectedly spike, debates fixate on anecdotes. "Was it weather? A competitor's promo? Menu changes? Platform ranking shifts?" Root causes across advertising, discounts, menu, operations, ratings, and external factors are hard to isolate quickly—so teams argue rather than act.
Compares actuals vs. plan daily and flags meaningful deviations automatically—no more waiting until month-end to discover problems.
Tags every variance end-to-end (platform, channel, funnel, geo, time) and attributes impact to the exact levers: CPC, delivery rate, CDPO, menu, ops (KPT/OOS/cancellations), ratings, weather, competition.
Surfaces issues directly into weekly and fortnightly governance agendas with pre-analyzed context, action logging and follow-through tracking.
Near-real-time insights surface in the Automated RCA and auto-route to the right POCs and governance agendas (weekly/fortnightly/monthly), stamped with owner, due-by, and severity—so action happens fast and nothing slips.
Leaders need a clean zoom-out to distinguish structural shifts from short-term volatility. Is declining conversion a temporary blip or a category-wide trend? Are rising costs in Bangalore signaling broader margin pressure? Month-to-month firefighting obscures these patterns.
Insights without execution are powerless. Improvements fade after initial bursts because nobody owns the change long-term. Pillar 9 transforms the FECOM Framework from an analysis tool into an execution engine.
What We Install:
Examples: Menu redesign for delivery behavior, packaging and prep-time optimization, SLA micro-projects, CRM lifecycle nudges, ratings hygiene sprints.
The FECOM Playbook isn't just a document; it's the institutional memory and operating doctrine of your high-performance growth engine. It codifies best practices, prevents tribal knowledge loss, and ensures that every team member, from new hires to seasoned leaders, operates with a shared understanding of what drives growth.
Precise role definitions and accountabilities, including the critical Head of E-commerce position and its interface with Marketing, Operations, Product and Finance.
A comprehensive KPI tree, linking high-level business goals to daily operational metrics, paired with clear review cadences (daily, weekly, monthly, quarterly) and escalation paths.
Standardized templates for campaign briefs, experiment designs, post-mortems and decision-making frameworks, plus checklists for critical processes like new market launches or platform integrations.
Structured training and certification programs for all key roles, ensuring consistent skill levels and rapid onboarding for new team members.
A mechanism for quarterly playbook updates, incorporating "keep/kill/scale" decisions from Pillar 9 retrospectives, ensuring the playbook evolves with the business.
These real-world examples demonstrate the power of structured, data-driven delivery operations and show measurable results from implementing the 10-pillar system.
Naturals Ice Cream partnered with M2Oc to prove that brand-led decisions—executed with operational rigor—can drive measurable improvements in customer experience and business outcomes. This initiative demonstrates the power of the FECOM Framework in action.
What Naturals Did: Ran Mumbai pilots with a simple MFR (Made Fresh to Order) protocol. Made KPT a core store performance parameter tracked weekly.
M2Oc Enablement: Built training kits and zone huddle frameworks. Deployed weekly P50/P75 tracker. Provided outlier coaching to stores lagging behind.
Outcomes:
Minutes saved on average across the network
Achieved within ~90 days with no capital investment
Leading to improved ratings
"Speed became a competitive advantage—and customers noticed."
Own-channel is hard to win and only worth it when the switch feels clearly better.
Customers default to marketplaces for habit, saved payments and trust. If value is not obvious before checkout, intent collapses at the fee step.
Direct improves unit contribution and unlocks first-party data for higher LTV while de-risking dependence on Swiggy/Zomato. But customers will not move unless the reward clearly outweighs habit and friction.
We built and tested multiple customer value propositions for Naturals and arrived at one that made sense for both the brand and the customer, then rolled it out across India.
M2Oc worked with Naturals to define a strong, viable CxVP that made direct adoption rational to try and repeat.

Subway plays in a value-conscious segment. Most delivery customers aim to spend ₹250–₹320 per meal.
Deep discounting hurts margin and is not sustainable. Subway needed a smarter way to grow delivery revenue profitably.
Show value without burn by bundling a core item with a high-margin add-on and pricing the combo so the blended gross margin meets the brand target. Customers see a saving. Margins stay protected.
Core sandwich + high-margin add-on → combo priced to target GM% → visible “Save ₹X / Y%”.
Target GM% = 70%. Sandwich ₹220 (cost ₹77), drink ₹80 (cost ₹8) → total cost ₹85.
Set combo price P = 85 / (1−0.70) ≈ ₹283. Separate prices ₹300 → Save ₹17 while holding 70% GM.
Always-on category visible on delivery apps: “Coke Combos (save 31%)” with Veg and Non-Veg sections.
“Munaf is great guy to work with honest , transparent and full of ideas. With his execution and first hand experience in both structured and unstructured environments he has thrived as he keeps it simple. Great guy to work with if you are thinking for the next big idea or trying to go digital in your business!”
Saurabh Kalra, MD — McDonald’s India
“Munaf along with his team has helped us to organise our delivery data, created dash board which helps us to monitor progress. We appreciate team's scientific approach to dissect all the challenges, helping us to take informative decisions.”
Nripendra Chauhan, COO — Speciality Restaurants
“Munaf combines the experience of being a restauranteur, performance marketing, and knowing the food aggregator ecosystem intimately. I met him while he managed our brand from the aggregator he was working with and immediately took to his analytical approach to building a business and brand in that space. He’s been a teacher and advisor for us and the best part of working with him is that we are able to apply a lot of his structured thinking over a long period of time. Because the fundamentals he has helped with don’t change. I wish Munaf well with The Bohri Kitchen and the business he’s building to help other food brands. And I know that I’ll be reaching out to him again for advice, sooner than later.”
Mayur Hola, CMO — Subway India
“I have the pleasure of working with Munaf and his team on buidling "food ecommerce system!" for my brand and I must say his expertise and dedication are instrumental to our success. Munaf an entrepreneur first himself has a business first approach and brings in strategic insights which significantly impacts our decision-making process. I highly recommend Munaf and his team for anyone seeking a robust food ecommerce business growth.”
Siddhant Kamath, Director — Naturals Ice Cream
“Munaf is the quintessential foodie and all the good things that come with people who love food! While at Tata Digital when me and my team were looking to enter online food delivery space, we tapped into the vast experience of Munaf and his team at M2O consulting to show us the way. During the limited time I got to work with Munaf, he was insightful, collaborative and a total blast to work with. We ended up learning a whole lot from him about the landscape and managed to build relationships with key stakeholders of the ecosystem through his help & networks. I personally enjoyed working with Munaf a lot. If you are someone who wishes to know about how restaurant industry works in India, eat some great food, or just wants to have a good time sailing around waters in Mumbai, Munaf is your #1 go to man without doubt. All power to him and his team.”
Gaurav Porwal, SVP — Tata Digital






Our expertise has consistently delivered measurable results for a diverse portfolio of clients, from established chains to emerging digital disruptors in the food tech space.
Be the neutral, industry-building force that helps India's delivery economy reach $20–30 billion in annual GMV—rivaling and ultimately surpassing global peers—by making delivery predictable, profitable and professionally managed for brands of all sizes.
Install the FECOM Framework with 5–10 flagship accounts spanning national chains and strong regional players. Demonstrate predictable growth, margin discipline and restored strategic control. Build case studies and refine the playbook based on real-world deployment.
Deepen partnerships with Swiggy, Zomato and ONDC. Aggregate common problem statements from multiple brands. Advocate for standardized APIs, data formats and policies that benefit the entire ecosystem. Expand adoption to 20–30 brands and establish M2Oc as the neutral voice of the restaurant community.
Productize the FECOM Framework into a lighter-weight, DIY platform accessible to 1,000+ restaurants. License the methodology to international markets facing similar delivery challenges. Establish certification programs and a partner network to scale beyond direct consulting capacity.
From consultancy to ecosystem catalyst — building predictable, profitable delivery infrastructure that's proudly Indian and globally competitive.

Munaf Kapadia literally breathes and eats ecommerce. His prior work & entrepreneurial experience includes Google, The award winning Bohri Kitchen, McDonalds and Zomato. He is a Forbes 30u30 and also an author of 'How I Quit Google to Sell Samosas' published by HarperCollins.


Sumedh Kamble, Principal Consultant, is a growth marketer with 4+ years in performance and e-commerce, with work across Pluckk, Van Heusen, DBS Bank, and Schindler India. At M2O, he led Naturals Ice Cream and Speciality Restaurants, owning end-to-end stakeholder alignment across brand and ops with partners like Swiggy and Zomato, and he runs our day-to-day ops (resourcing, workflows, quality). His focus: simple plans, crisp measurement, and steady execution that turns e-commerce best practices into delivery results.

Parth Patel, Account Manager, brings 4+ years of experience across analytics, project delivery and client servicing. Prior to M2O Consulting, he worked with brands like Diageo and HUL, managing global digital asset operations and delivering insight-rich Power BI dashboards. At M2Oc, he supports Naturals Ice Cream by integrating data-led thinking with strong cross-functional execution across aggregators and stakeholders. With a sharp eye for reporting and performance tracking, Parth ensures strategy translates into measurable results.
The opportunity is massive. The tools exist. The ecosystem is ready. What's missing is structured execution and a neutral partner who puts brand success ahead of platform politics. That's where M2Oc comes in.
We'll review your current delivery operations, identify quick wins, and map the potential ROI of implementing the FECOM Framework for your brand.
Experience how automated root-cause analysis transforms reactive firefighting into proactive, data-driven decision-making.
Based on your brand size, city footprint, and strategic priorities, we'll outline a phased implementation plan with clear milestones and ROI targets.
Phone: +91-9172806064
From chaos to control. From guesswork to governance. From spending to scaling.
Let's make delivery your competitive advantage.
Food-ecommerce growth partners for India's leading restaurant chains