The ₹1,000 Crore Profit Problem: How Would a Top Consulting Firm Save a Failing Business?

A practical consulting case study on profitability, issue trees, root-cause analysis, EBITDA improvement, and strategic decision-making

Introduction: You Are the Consultant

Imagine walking into a boardroom.

Across the table sits the CEO of NovaBite, a fictional Indian quick-service restaurant (QSR) company with 850 restaurants across India.

The company has been growing aggressively.

More stores.

More customers.

More orders.

More revenue.

Everything appears to be going perfectly.

But then the CFO presents the following numbers:

Revenue increased from ₹4,200 crore to ₹6,800 crore in three years.

That's a 61.9% increase.

But EBITDA went from ₹648 crore to ₹544 crore between Year 2 and Year 3.

That's a decline of approximately 16%.

Even more concerning, EBITDA margin dropped from:

12% → 8%

The CEO looks at you and says:

"Our revenue is growing. Our customer base is growing. So why are our profits falling?"

Then comes the real assignment:

"I want you to identify the problem and find at least ₹250 crore of annual EBITDA improvement within 18 months."

You are now the consultant.

1. Don't Jump to the Solution

A common mistake is to immediately say:

• Increase prices
• Cut employees
• Close stores
• Reduce marketing
• Negotiate with suppliers

That's not consulting.

Before recommending anything, we need to understand why profitability declined.

At the highest level:

EBITDA = Revenue − Operating Costs

Therefore, our first issue tree becomes:

                    EBITDA Decline
                         │
              ┌──────────┴──────────┐
              │                     │
           Revenue                Costs
              │                     │
        ┌─────┼─────┐        ┌──────┼──────┐
        │     │     │        │      │      │
      Price Volume Mix      Food   Labor   Other

Our first question is simple:

Is the problem revenue, costs, or both?

2. Understand the Business

NovaBite operates restaurants across major Indian cities.

Its revenue comes from:

• Dine-in
• Takeaway
• Online delivery

The company added a significant number of stores.

Immediately, we notice something interesting.

Stores increased by 31%.

But revenue increased by only about 26%.

Revenue per store therefore declined:

₹8.31 Cr → ₹8.00 Cr

The company is expanding, but the average economics of each store are getting weaker.

That's our first warning sign.

3. Revenue Analysis

Let's break revenue into its fundamental components.

Revenue = Number of Orders × Average Order Value

In Year 2:

100 million orders × ₹540

= ₹54 billion

= ₹5,400 crore

Correct.

Now Year 3:

Revenue = ₹6,800 crore

Average order value = ₹435

Therefore:

₹6,800 crore ÷ ₹435 ≈ 156.3 million orders

So orders increased from:

100 million → ~156.3 million

That's approximately a:

56.3% increase in order volume.

But AOV declined from:

₹540 → ₹435

That's approximately:

19.4% lower.

This is a major clue.

4. More Orders, Less Money Per Order

The company is receiving significantly more orders.

That sounds positive.

But customers are spending less per order.

Why?

We investigate the product mix.

Suppose NovaBite's sales mix changed:

The company increasingly pushed:

• Value meals
• Discounted products
• Entry-level products
• Promotional combos

This increased order volume.

But it reduced the average amount customers spent.

This gives us an important consulting lesson:

Revenue growth doesn't automatically mean profitable growth.

5. The Discount Trap

The marketing team reveals another important fact.

NovaBite spent heavily on promotions to increase customer acquisition.

For example:

"₹100 OFF on orders above ₹399."

This may increase transactions.

But we need to ask:

What happens to contribution margin after the discount?

Suppose:

Customer order:

₹500

Discount:

₹100

Actual revenue:

₹400

Now subtract:

• Food costs
• Packaging
• Delivery commission
• Payment fees
• Other variable costs

The company may discover that some promotional orders generate extremely low contribution—or even negative contribution.

The consultant therefore asks:

"Which customers and orders are actually profitable?"

That's a much better question than:

"How many orders did we generate?"

6. Now Investigate Costs

Revenue isn't the only problem.

Let's examine the company's major operating costs.

Several categories deteriorated simultaneously.

But we need to quantify the impact.

That's a core consulting principle:

Don't just identify problems. Put a number on them.

7. The ₹272 Crore Food-Cost Opportunity

Year 3 revenue:

₹6,800 crore

Current food cost:

34%

Therefore:

₹6,800 Cr × 34% = ₹2,312 Cr

Now imagine NovaBite could bring food costs back to 30% of revenue.

Target food cost:

₹6,800 Cr × 30% = ₹2,040 Cr

Potential savings:

₹2,312 Cr − ₹2,040 Cr

= ₹272 crore

That's a huge opportunity.

But we can't simply assume the company can save ₹272 crore.

We need to determine:

Why did food costs increase?

8. Root-Cause Analysis

The procurement team provides three clues.

Problem 1 — Supplier Fragmentation

NovaBite works with 47 regional suppliers.

Purchasing volumes are fragmented.

That reduces negotiating power.

Problem 2 — Commodity Inflation

Prices of key ingredients increased.

For example:

• Chicken
• Cheese
• Cooking oil
• Wheat
• Packaging

Some of this increase may be unavoidable.

Problem 3 — Food Waste

Restaurant-level wastage increased from:

3.5% → 6.2%

That's a significant operational problem.

Food is being purchased but never converted into revenue.

9. Strategy #1 — Procurement Optimization

The consultant recommends consolidating suppliers.

Instead of:

47 suppliers

NovaBite could potentially move toward:

~12 strategic suppliers

The company can negotiate based on larger purchasing volumes.

Potential initiatives:

• Centralized procurement
• Volume-based contracts
• Long-term agreements
• Supplier bidding
• Standardized ingredients
• Better demand forecasting

Suppose realistic procurement savings reach:

₹90 crore annually

That's our first major EBITDA opportunity.

10. Strategy #2 — Reduce Food Waste

The second problem is operational waste.

Instead of allowing restaurants to estimate inventory manually, NovaBite can introduce demand forecasting.

Forecasting can consider:

• Historical sales
• Day of week
• Weather
• Holidays
• Local events
• Promotions
• Store location
• Time of day

For example:

If a restaurant historically sells:

300 burgers on Saturday

but only:

180 burgers on Monday

its inventory planning shouldn't be identical.

Better forecasting can reduce:

• Overproduction
• Expired ingredients
• Excess inventory
• Emergency procurement

Suppose NovaBite achieves:

₹55 crore annual EBITDA improvement

from waste reduction.

11. Strategy #3 — Labor Productivity

Employee costs increased from:

15% → 18% of revenue.

Again, the answer isn't necessarily layoffs.

The consultant examines:

• Staff scheduling
• Peak-hour demand
• Kitchen utilization
• Order preparation time
• Store opening hours
• Employee productivity
• Automation opportunities

Suppose the data shows some stores have too many employees during low-demand periods.

But those same stores are understaffed during peak hours.

Better workforce scheduling can improve productivity without reducing service quality.

Potential annual improvement:

₹45 crore

12. Strategy #4 — Fix Delivery Economics

Online delivery has grown rapidly.

That's good for revenue.

But delivery can also introduce:

• Platform commissions
• Packaging costs
• Discounts
• Promotional subsidies
• Payment costs

Consider two orders.

Order A

Revenue: ₹500
Contribution after variable costs: ₹140

Order B

Revenue: ₹500
Contribution after variable costs: ₹20

Both appear identical from a revenue perspective.

But economically, they're completely different.

NovaBite should therefore measure:

Contribution per order

rather than simply:

Revenue per order

Potential initiatives:

• Reduce unprofitable discounts
• Introduce minimum order values
• Promote higher-margin combos
• Encourage direct ordering
• Optimize delivery radius
• Negotiate platform economics

Potential EBITDA improvement:

₹35 crore

13. Strategy #5 — Store Portfolio Optimization

NovaBite added 200 stores.

But not every store performs equally.

The consultant categorizes stores.

A — High Performers

High revenue + strong profitability.

Action: Expand.

B — Potential Performers

Good demand but weak profitability.

Action: Improve economics.

C — Structural Underperformers

Low sales + negative contribution.

Action: Consider closure or relocation.

This is much better than saying:

"Close 100 stores."

Instead, define objective thresholds.

For example:

Close stores that remain below a minimum contribution level after a defined turnaround period.

Potential improvement:

₹25 crore

14. Strategy #6 — Pricing and Product Mix

Now we come to pricing.

Increasing prices across the board could be dangerous.

Customers might leave.

Instead, NovaBite can use:

Product-level pricing analysis.

For example:

But the strategy isn't simply:

"Raise prices."

It is:

Improve contribution per transaction while protecting customer demand.

NovaBite could also redesign its menu around higher-margin combinations.

Potential EBITDA improvement:

₹60 crore

15. Build the EBITDA Improvement Bridge

Now we put everything together.

The CEO requested:

₹250 crore

Our identified opportunity:

₹310 crore

Potential buffer:

₹60 crore

But there's an important caveat.

These are opportunity estimates, not guaranteed profits.

A consultant must distinguish between:

Potential impact

and

Realized impact.

16. The Implementation Roadmap

A recommendation without implementation is incomplete.

So we create an 18-month plan.

Phase 1 — Diagnose

Months 0–3

Focus on:

• Store-level profitability
• Product profitability
• Supplier analysis
• Discount analysis
• Delivery economics
• Workforce utilization
• Food waste

The goal:

Find exactly where money is being lost.

Phase 2 — Quick Wins

Months 3–6

Implement:

• Supplier negotiations
• Discount rationalization
• Workforce scheduling
• Waste reduction pilots
• Menu optimization

The goal:

Capture easy savings quickly.

Phase 3 — Structural Changes

Months 6–12

Implement:

• Supplier consolidation
• Demand forecasting
• Store portfolio optimization
• Direct ordering strategy
• Pricing changes

Phase 4 — Scale

Months 12–18

Scale successful pilots across the network.

Track:

• EBITDA
• EBITDA margin
• Contribution/order
• Food waste
• Labor productivity
• Store-level profitability

17. The Consultant's Dashboard

Management should monitor a small number of critical KPIs.

Financial

• Revenue
• EBITDA
• EBITDA margin
• Gross margin
• Contribution margin

Customer

• Orders
• AOV
• Repeat rate
• Customer acquisition cost

Operations

• Food waste %
• Food cost %
• Labor cost %
• Orders per employee
• Store utilization

Digital

• Delivery orders
• Direct orders
• Delivery commission %
• Digital conversion

This turns the strategy into a measurable operating system.

18. The Final Recommendation

You return to the CEO.

Your recommendation is:

NovaBite should not slow growth simply because profitability has deteriorated. Instead, it should change the quality of its growth.

The company should prioritize six initiatives:

1. Procurement optimization
2. Food waste reduction
3. Labor productivity
4. Delivery economics
5. Store portfolio optimization
6. Pricing and product-mix optimization

The combined opportunity is approximately:

₹310 crore

against the CEO's target of:

₹250 crore

But execution must be phased and measured.

19. What Was the Real Problem?

At the beginning, the problem looked like:

"Our profits are falling."

After investigation, we discovered something more interesting.

NovaBite wasn't suffering from a single problem.

It had a growth-quality problem.

The company was:

• Opening stores quickly
• Generating more orders
• Attracting price-sensitive customers
• Offering heavy discounts
• Paying more for ingredients
• Wasting more food
• Spending more on labor
• Paying more for delivery
• Operating some underperforming stores

Revenue growth was hiding deteriorating economics.

20. The Most Important Consulting Lesson

The CEO initially asked:

"How do we increase profit?"

A good consultant reframes the question:

"Which specific economic drivers are causing the decline, and which interventions can change them?"

That's the difference between:

Guessing

and

Structured problem solving.

21. The Consulting Framework You Should Remember

When faced with a profitability problem, start here:

                  PROFITABILITY
                       │
             ┌─────────┴─────────┐
             │                   │
          REVENUE              COST
             │                   │
       ┌─────┼─────┐       ┌─────┼──────┐
       │     │     │       │     │      │
     Price Volume Mix     Variable Fixed Other

Then go deeper.

For example:

Revenue
  │
  ├── Customers
  │
  ├── Orders
  │
  ├── Average Order Value
  │
  └── Product Mix

And:

Costs
  │
  ├── Food
  ├── Labor
  ├── Rent
  ├── Delivery
  ├── Marketing
  └── Other Operating Costs

This gives you a structured path from:

Problem → Hypothesis → Data → Root Cause → Solution → Financial Impact

22. Case Interview Challenge

Now imagine you're sitting in a consulting interview.

The interviewer says:

"Our client operates 500 coffee shops. Revenue increased by 30%, but EBITDA declined by 20%. What would you investigate?"

Don't immediately give the interviewer a solution.

Start with:

"I'd like to understand whether the EBITDA decline is driven primarily by revenue deterioration, cost inflation, or a combination of both."

Then build your issue tree.

Revenue

• Number of customers
• Transactions
• Average order value
• Pricing
• Product mix
• Discounts

Costs

• Raw materials
• Labor
• Rent
• Utilities
• Delivery
• Marketing

Then ask:

"Which of these has changed materially, and what is the financial impact of each change?"

That's the beginning of a strong case interview answer.

23. What You Should Learn From This Case

This single case introduced several important consulting concepts:

1. Issue Trees

Breaking a complex problem into smaller components.

2. MECE

Structuring your analysis so major areas don't overlap unnecessarily or get missed.

3. Hypothesis-Driven Thinking

Developing possible explanations and testing them with data.

4. Root-Cause Analysis

Finding the underlying reason rather than treating symptoms.

5. EBITDA Bridge

Quantifying how different initiatives can improve profitability.

6. Unit Economics

Understanding whether individual transactions, customers, products or stores actually make money.

7. Prioritization

Not every theoretically possible initiative should be implemented.

8. Implementation

Turning recommendations into measurable actions.

Conclusion

The most important lesson from this case isn't the ₹310 crore opportunity.

It's the process used to find it.

A company can have:

Growing revenue + growing customers + growing orders

and still become less profitable.

That's why consultants don't stop at:

"Revenue is growing."

They ask:

"What is the quality of that growth?"

And that question can uncover millions—or billions—of rupees hiding inside a business.