AI Under the Hood · · 10 min read

Comparative Analysis of LLM Business Reasoning: A Real-World Sales Resource Allocation Case Study

Explore how top LLMs—Qwen2.5-Max, DeepSeek R1, and GPT-01—tackle real-world sales optimization challenges. This case study breaks down their reasoning strengths and business impact. Read more on NadiAI Hub.

Comparative Analysis of LLM Business Reasoning: A Real-World Sales Resource Allocation Case Study | NadiAI Hub
Comparative Analysis of LLM Business Reasoning: A Real-World Sales Resource Allocation Case Study

Introduction

As Large Language Models (LLMs) increasingly become part of business decision-making processes, understanding their reasoning capabilities in practical scenarios becomes crucial. This case study compares three prominent LLMs:

  • Qwen2.5-Max: Alibaba's latest language model known for its comprehensive reasoning capabilities
  • DeepSeek R1: A specialized model focusing on analytical and mathematical reasoning
  • GPT-01: A model emphasizing practical business frameworks and strategic thinking

We evaluate these models through a real-world business challenge: optimizing sales resource allocation across different regions with varying performance metrics and constraints.

Why This Comparison Matters

  1. Practical Business Impact: Companies increasingly rely on AI for decision support
  2. Real-World Complexity: Tests models' ability to handle multiple variables and constraints
  3. Quantitative Reasoning: Evaluates mathematical and analytical capabilities
  4. Strategic Thinking: Assesses balance between short-term and long-term planning

The Business Challenge

We presented each model with an identical scenario:

As a sales director, analyze this business scenario and provide your reasoning with calculations:

You manage 3 sales regions:

Region A: 90% target achievement, 15% churn rate

Region B: 120% target achievement, $2000 customer acquisition cost

Region C: 75% target achievement, 5% churn rate, $500 customer acquisition cost

You have $100,000 extra budget for Q4. Consider:

  • Sales training takes 2 months to show results

  • Customer retention programs take 3 months to show results

  • Sales incentives show immediate results

How would you allocate the $100,000 across these regions to maximize long-term revenue?

Model Responses

Qwen2.5-Max

To determine the optimal allocation of the $100,000 budget across the three regions, we need to consider the key performance indicators (KPIs) for each region, the impact of different initiatives (sales training, customer retention programs, and sales incentives), and the timing of their effects. Here's a step-by-step breakdown:

Step 1: Analyze Each Region’s Current Performance

Region A

Target Achievement: 90% (below target)
Churn Rate: 15% (high churn rate indicates potential issues with customer retention)

Opportunities:

  • High churn suggests that a customer retention program could significantly improve long-term revenue.
  • Sales training might also help improve performance, but it takes 2 months to show results.

Region B

Target Achievement: 120% (exceeding target)
Customer Acquisition Cost (CAC): $2000 (relatively high CAC)
Opportunities:

  • Since this region is already exceeding targets, immediate focus should be on maintaining or slightly improving performance.
  • Sales incentives could further boost short-term results, given their immediate impact.
  • High CAC suggests that increasing customer acquisition may not be cost-effective in the short term.

Region C

  • Target Achievement: 75% (significantly below target)
  • Churn Rate: 5% (low churn rate indicates strong customer retention)
  • Customer Acquisition Cost (CAC): $500 (low CAC makes customer acquisition cost-effective)
  • Opportunities:
    • Low churn and low CAC make this region ideal for investing in customer acquisition to drive growth.
    • Sales training could also help address the underperformance, but its delayed impact means it should be balanced with other initiatives.

Step 2: Evaluate Initiatives

Sales Training

Takes 2 months to show results.
Likely improves target achievement by enhancing sales skills and productivity.
Best suited for regions with long-term potential (e.g., Region A and Region C).

Customer Retention Programs

Takes 3 months to show results.
Reduces churn, improving long-term revenue.
Most impactful in regions with high churn rates (e.g., Region A).

Sales Incentives

Shows immediate results.
Boosts short-term performance by motivating sales teams.
Best suited for regions already performing well (e.g., Region B).


Step 3: Allocate Budget Based on Priorities

We allocate the $100,000 based on the following priorities:

  1. Address immediate underperformance (Region C).
  2. Improve long-term sustainability (reduce churn in Region A).
  3. Maintain and slightly enhance strong performance (Region B).

Region A Allocation

  • Focus: Customer retention program to reduce churn.
  • Cost: Assume $20,000 reduces churn by 5 percentage points (from 15% to 10%).
  • Impact: Lower churn improves long-term revenue retention.
  • Allocation: $20,000.

Region B Allocation

  • Focus: Sales incentives to maintain strong performance.
  • Cost: Assume $30,000 increases target achievement by 10 percentage points (from 120% to 130%).
  • Impact: Immediate boost in Q4 revenue.
  • Allocation: $30,000.

Region C Allocation

  • Focus: Customer acquisition and sales training.
  • Customer Acquisition: With a $500 CAC, $40,000 can acquire 80 new customers.
  • Sales Training: Allocate $10,000 for training to improve long-term performance.
  • Impact: New customers and improved sales skills drive both short- and long-term growth.
  • Allocation: $40,000 (acquisition) + $10,000 (training) = $50,000.

Step 4: Verify Total Allocation

  • Region A: $20,000
  • Region B: $30,000
  • Region C: $50,000
  • Total: $100,000

Step 5: Calculate Expected Outcomes

Region A

  • Churn reduction from 15% to 10%:
    • Assuming annual revenue per customer is $10,000 and there are 1,000 customers:
      • Annual revenue lost due to churn = 15% × 1,000 × $10,000 = $1,500,000.
      • After churn reduction: 10% × 1,000 × $10,000 = $1,000,000.
      • Savings = $500,000 annually.

Region B

  • Target achievement increase from 120% to 130%:
    • Assuming base target is $1,000,000:
      • Additional revenue = 10% × $1,000,000 = $100,000.

Region C

  • Customer acquisition:
    • 80 new customers × $10,000 annual revenue = $800,000 additional revenue.
  • Sales training:
    • Assume a 10% improvement in sales productivity over time:
      • Base revenue = $750,000 (75% of $1,000,000 target).
      • Additional revenue = 10% × $750,000 = $75,000 annually.

Step 6: Final Recommendation

The $100,000 budget should be allocated as follows:

  • Region A: $20,000 for customer retention programs.
  • Region B: $30,000 for sales incentives.
  • Region C: $50,000 ($40,000 for customer acquisition, $10,000 for sales training).

This allocation balances short-term gains (Region B) with long-term growth and sustainability (Regions A and C).

Final Answer: $\boxed{\text{Region A: $20,000, Region B: $30,000, Region C: $50,000}}$.

DeepSeek R1

Step-by-Step Analysis and Allocation:

1. Region C Prioritization (Highest Potential ROI):

  • Current Status: 75% target achievement, 5% churn, $500 CAC (most efficient).
  • Action: Allocate $60,000 to sales incentives (immediate results).
  • Calculation:
    • $60,000 ÷ $500 CAC = 120 new customers.
    • With 5% churn, average customer lifespan = 1 / 0.05 = 20 months.
    • Long-term value: 120 customers × 20 months = 2,400 customer-months of revenue.
      2. Region A Retention (Address High Churn):
  • Current Status: 15% churn (highest), 90% target achievement.
  • Action: Allocate $30,000 to retention programs (3-month lag for results).
  • Assumption: Reduces churn to 10%, preserving 5% of existing customers monthly.
  • Example: If Region A has 1,000 customers, 5% saved = 50 customers/month.
  • Long-term value: 50 customers/month × 10-month lifespan = 500 customer-months/month preserved.
    3. Region B Efficiency Improvement (Lower CAC):
  • Current Status: 120% target, $2,000 CAC (inefficient).
  • Action: Allocate $10,000 to sales training (2-month lag for results).
  • Assumption: Training reduces CAC by 10% (to $1,800).
    • Post-training, for every 100 customers acquired: Savings = 100 × $200 = $20,000.
    • Breakeven at 50 customers ($10k investment ÷ $200 saved/customer).
      Final Allocation:
  • Region C: $60,000 (Sales Incentives)
  • Region A: $30,000 (Retention Programs)
  • Region B: $10,000 (Sales Training)
    Reasoning:
  • Region C offers the highest marginal return due to low CAC and churn. Immediate incentives boost Q4 performance and long-term revenue.
  • Region A’s high churn erodes long-term value; retention programs stabilize the customer base.
  • Region B’s training reduces future acquisition costs, improving efficiency for sustained growth.

This allocation balances immediate gains (Region C) with sustainable strategies (Regions A and B), maximizing long-term revenue.

GPT-01

Below is one illustrative way to think through the problem step by step, with example numbers to show how one might estimate returns and arrive at a rational budget split. Of course, in a real business you would tailor the exact calculations to your pipeline data, average deal sizes, and retention economics. But the framework below demonstrates how you can combine retention, training, and incentives to maximize long‐term revenue.

1. Understand Each Region’s Key Metrics

Region A

  • Target achievement: 90%
  • Churn rate: 15% (relatively high)
  • Implication: They are close to hitting targets but are losing a significant portion of customers each period. Reducing churn here could substantially improve long-term revenue retention.

Region B

  • Target achievement: 120%
  • Churn rate: Not given (assume average or stable)
  • Customer Acquisition Cost (CAC): $2,000
  • Implication: Already over target, which suggests the sales team is performing well. Providing immediate sales incentives might yield quick wins in Q4 because they have the momentum and presumably a strong pipeline. However, their CAC is high, so every new customer is relatively expensive.

Region C

  • Target achievement: 75% (underperforming)
  • Churn rate: 5% (low churn)
  • Customer Acquisition Cost (CAC): $500 (relatively low)
  • Implication: Because CAC is low, investing to boost sales here can produce strong returns if the team can close more deals. However, because current target achievement is only 75%, it suggests some performance gap (skills, pipeline management, or motivation). Training plus incentives could address that.

2. Timing of Different Investments

  1. Sales Training – Takes ~2 months to show results.
  2. Customer Retention Program – Takes ~3 months to show results.
  3. Sales Incentives – Show immediate results (can boost Q4 quickly).

Given Q4 is presumably 3 months (October to December), you have to be strategic:

  • Retention spending now might only start bearing fruit at the very end of Q4 (or even in Q1 next year). However, the benefit can be large and ongoing if you reduce churn permanently.
  • Training started now (early Q4) might begin to pay off by December and certainly in Q1 of next year.
  • Incentives give you immediate Q4 lift.

3. Lay Out the Potential ROI Levers

Below are example calculations and assumptions. Adjust them to your real numbers (average revenue per customer, pipeline conversion rates, etc.).

3.1 Retention Benefit in Region A

  • Current churn: 15%.
  • Assume Region A has ~2,000 existing customers, each worth $1,000/year = $2,000,000 annual revenue.
  • Churned revenue/year: 15% × 2,000 = 300 customers lost = $300,000 lost.
  • Potential reduction: If a retention program cuts churn to 10%, that’s losing only 200 customers = $200,000 lost.
    • You retain an additional 100 customers = $100,000 in saved revenue annually.
      If you invest $20,000 into a retention initiative that accomplishes this 5% improvement, you protect $100,000 in recurring revenue. That is a 5× return on your retention spend in one year. You may not see all of it in Q4, but you strengthen long-term revenue.

3.2 Immediate Sales Incentives in Region B

  • Performance: Already at 120% of target. Strong sales force.
  • High CAC ($2,000) but also presumably higher deal size or quicker closes.
  • Assume that every $1,000 in incentive or spiffs drives 1 extra deal (for simple math). If each new deal nets $3,000 in gross profit, then:
    • $25,000 in incentives might yield ~25 additional deals × $3,000 = $75,000 in extra gross profit in Q4.
  • This is a short-term lever but helps you hit or exceed Q4 numbers immediately.

3.3 Improving Region C via Training + Incentives

  • Low CAC: $500.
  • Low churn: 5%.
  • Underachievement: 75%. Likely a skills gap or pipeline gap.
    *** ROI from Training (2-month lag):**
    • Suppose training can lift target achievement from 75% to 85–90% over the next few quarters. That could add a permanent 10–15 percentage points of performance if you have the right pipeline.
    • If Region C’s annual revenue is, say, $1M at 75% of target, getting them toward 90% means another $200–$250k in annual revenue. A training program that costs $30k could thus pay for itself quickly.
      *** ROI from Immediate Incentives:**
    • With a $500 CAC, an incentive push that invests $20k purely in acquiring new customers might yield 40 new customers (40 × $500 = $20k).
    • If each new customer is worth $2k in annual revenue (just an example multiple), that’s 40 × $2k = $80k in new annual revenue in Q4.

4. Proposed Allocation of the $100,000

A balanced allocation that addresses both immediate Q4 lift and sets you up for higher growth/retention in the new year could be:
1. Region A – $20k for Retention Program
Rationale: High churn (15%) is dragging down net revenue. Lowering churn has a long-tail benefit; even if it doesn’t materialize fully in Q4, you lock in higher recurring revenue for next year.
2. Region B – $25k in Immediate Sales Incentives
Rationale: They are already over target (120%). Reward success and push them to close incremental deals in Q4 for an immediate revenue boost. Even though B’s CAC is higher ($2,000), their proven performance suggests that short-term incentives can yield a strong near-term boost.
3. Region C – $30k in Training + $25k in Sales Incentives

  • Training ($30k): Addresses the gap behind the 75% achievement. By end of Q4 (and certainly in Q1 next year), you should see a sustained lift in sales effectiveness.
  • Incentives ($25k): Jump-start additional deals in Q4. With $500 CAC, that might drive 50 new customers immediately (if your pipeline can support it).

This allocation totals:
$20k (A retention)  +  $25k (B incentives)  +  ($30k training+$25k incentives for C)=$100k$20k \text{ (A retention)} ;+; $25k \text{ (B incentives)} ;+; ($30k \text{ training} + $25k \text{ incentives for C}) = $100k

5. Summary of the Rationale

1. Fix the Churn Problem (Region A)

  • Even the best new sales machine leaks revenue if churn is high. Region A’s 15% churn is the biggest “leak” you can plug for a healthy long-term base.

2. Maximize Immediate Q4 Sales (Regions B + C)

  • Region B is already outperforming, so giving them incentives is “pouring fuel on the fire.”
  • Region C has the cheapest customer acquisition ($500). Some of your Q4 dollars should go to immediate incentives there as well for a quick top-line jump.

3. Invest in Skills Where Needed (Region C)

  • Region C is under-target at 75%. Sales training can lift productivity from Q4 onward, especially given their low churn and low CAC—once you acquire customers, they tend to stay. You just need the skillset to bring them in.

By balancing retention (Region A), immediate incentives (Region B + some of C), and training (Region C), you set yourself up for both short-term Q4 gains and a stronger, more sustainable base of revenue growth moving into the next fiscal period.

Comparative Analysis

1. Approach to Problem-Solving

Model Approach Strength Limitation
DeepSeek R1 Direct ROI focus Clear mathematical reasoning Limited strategic context
Qwen2.5-Max Systematic analysis Comprehensive evaluation Complex implementation
GPT-01 Framework-based Rich business context Less immediate focus

table

2. Budget Allocation Strategy

Region DeepSeek R1 Qwen2.5-Max GPT-01
A $30K (Retention) $20K (Retention) $20K (Retention)
B $10K (Training) $30K (Incentives) $25K (Incentives)
C $60K (Incentives) $50K (Split) $55K (Split)

3. Key Differentiators

DeepSeek R1 (Best Performance):

  1. Q4 Focus: 60% budget to immediate results
  2. Clear ROI: Precise customer lifetime calculations
  3. Efficient Allocation: Maximized low-CAC opportunity

Qwen2.5-Max:

  1. Systematic approach
  2. Balanced allocation
  3. Detailed outcomes analysis

GPT-01:

  1. Rich strategic context
  2. Long-term perspective
  3. Framework-based thinking

Why DeepSeek R1 Provided the Superior Solution

1. Timeline Alignment

  • Focused on Q4 impact
  • Limited delayed-return investments
  • Immediate revenue focus

2. Mathematical Precision

  • Clear lifetime value calculations
  • Precise ROI metrics
  • Quantifiable outcomes

3. Resource Efficiency

  • Maximized low-CAC opportunities
  • Clear focus on immediate returns
  • Practical allocation strategy

Practical Implications

1. For Business Leaders

  • Focus on quantifiable metrics
  • Consider implementation timelines
  • Balance short and long-term returns

2. For AI Implementation

  • Different models excel in different aspects
  • Mathematical precision matters
  • Consider business constraints

Conclusion

DeepSeek R1 demonstrated superior business reasoning capabilities through:

  1. Strong alignment with business constraints
  2. Clear, quantifiable outcomes
  3. Focus on immediate ROI
  4. Precise calculations
  5. Practical recommendations

This analysis shows that while all models can handle complex business scenarios, their approaches and strengths vary significantly. DeepSeek R1's focus on immediate results and clear ROI calculations made it particularly effective for this time-constrained business scenario.

ℹ️
Note: This analysis is based on a single case study and should be considered alongside other evaluation metrics for comprehensive model assessment.

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