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Reversing Profit Decline Despite Sales Growth in A Thai Sauce Producer.

From Sales Growth to Profit Growth: Sales Growth Shouldn't Mean Profit Sacrifice. A must-read for businesses facing similar challenges.

Thai-sauces-6-bottles
Thai-sauces-6-bottles

Synopsis

A Thai sauce producer experienced a concerning trend: sales were increasing, yet profitability was declining. This case study details how a data-driven approach was employed to identify inefficient areas, optimize pricing, and streamline processes, ultimately leading to significant revenue growth and improved margins on each product over a two-year period.

Challenge

Despite rising sales, the Thai sauce producer was experiencing a decline in profitability. This indicated inefficiencies and potential losses within their sales operations across various channels, including:

  • Profit Margin Squeeze: A deep dive into product-level profitability revealed that losses exceeding 30% were observed in the "budget brand" product line sold through modern trade channels, offsetting the profits generated by the "premium brand." This imbalance, if unchecked, threatened to erode overall profitability.

  • Operational Inefficiencies: Inefficient pricing strategies, lack of standardized processes, and data inconsistencies hindered accurate decision-making. This created confusion for each customer group, complicated sales management, and likely contributed to the profitability issues.

  • Data Quality Issues: Poor data quality and lack of a centralized data management system prevented the company from gaining actionable insights, making it difficult to gain a clear and reliable picture of the company's financial performance.

  • Lack of Strategic Direction: The company lacked a clear strategic direction and a robust framework for decision-making, leading to inconsistent execution and suboptimal outcomes.

Methodology

  • Strategic Planning:

    • SWOT Analysis: Conducted a SWOT analysis to identify the Thai sauce producer's internal strengths and weaknesses, including external opportunities and threats.

    • Competitive Analysis: Utilized a positioning map to analyze competitor offerings and identify market gaps.

    • Market Analysis: Employed the Ansoff Matrix to explore potential growth strategies, including market penetration, market development, product development, and diversification.

  • Data-Driven Analysis:

    • Cost Accounting: Utilized standard time and industrial engineering principles to accurately calculate product costs.

    • Data Collection: Cleaned and combined data from various sources to ensure data accuracy and consistency.

    • Advanced Excel Analysis: Employed advanced Excel functions to analyze profitability at a granular level, identifying underperforming products and customer segments.

  • Marketing Mix Optimization:

    • Product Strategy: Developed a product strategy focusing on product portfolio optimization, including shifting the focus to more profitable products, building brands and introducing new, higher-margin products.

    • Pricing Strategy: Adjusted pricing based on accurate cost data and market analysis, negotiating improved margins with a distributor and retailers.

    • Distribution Strategy: Optimized distribution channels, focusing on high-growth channels and improving relationships with key distributors.

    • Promotion Strategy: Developed targeted marketing campaigns to enhance brand awareness and drive sales.

  • Operational Excellence:

    • Standardized Processes: Developed standardized processes for product coding, pricing, and data entry.

    • Reconciliation: Implemented a robust reconciliation process to ensure data accuracy and integrity.

    • KPI Setting: Established key performance indicators (KPIs) to track progress and measure the success of implemented strategies.

Project Deliverables

  • Increased Profitability: Achieved a 7.6% increase in product margins.

  • Revenue Growth: Delivered a 37% increase in revenue in 2 years.

  • 3-Year Strategic Plan: Developed a comprehensive 3-year strategic plan outlining key objectives, initiatives, and timelines.

  • Profitability Analysis Report: This detailed report provided the company with a clear understanding of the profitability of each product and customer segment across all sales channels.

  • Revised Pricing Strategy: Based on the profitability analysis, develop an improved pricing strategy to ensure profitability across all product lines and sales channels.

  • Structured Product Coding System: A standardized product coding system was implemented to eliminate inconsistencies and improve sales management efficiency.

  • Data Reconciliation Process: A new data reconciliation process was established to minimize data entry errors and ensure data accuracy.

  • Staff Training: Staff received comprehensive training on the new pricing structure, product coding system, and data reconciliation processes to ensure smooth implementation and adherence to the improved practices.

  • Operational Efficiency: Streamlined processes, improved data quality, and enhanced decision-making.

  • Data-Driven Culture: Fostered a data-driven culture within the organization.

Recommendations

  • Strategic Alignment: Ensure all teams are aligned with the strategic plan and their activities contribute to achieving the defined objectives.

  • Prioritize High-Margin Products: The company should focus on promoting and selling high-margin products to maximize profitability.

  • Renegotiate with Modern Trade Partners: Renegotiating back margin and front margin agreements with modern trade partners to improve the profitability of the "budget brand" product line.

  • Regular Reviews and Adjustments: Conduct regular reviews of the strategic plan and make necessary adjustments based on market dynamics, performance analysis, and emerging opportunities.

  • Continuous Improvement: Implement a continuous improvement program to identify and address ongoing challenges and optimize performance.

  • Technology Investment: Invest in a robust enterprise resource planning (ERP) system to support long-term growth and data-driven decision-making.

Conclusion

This case study serves as a valuable lesson for businesses facing similar challenges. By implementing a strategic framework, prioritizing data-driven decision-making, and fostering a culture of continuous improvement, businesses can navigate the complexities of growth and achieve sustainable profitability.

  • Data is a powerful tool: By leveraging data analytics, the company was able to identify and address underlying issues that were impacting profitability.

  • Cost management is critical: Accurate cost accounting and industrial engineering techniques were essential for optimizing pricing and profitability.

  • Strategic partnerships are valuable: Negotiating favorable terms with modern trade partners was crucial for improving margins.

  • Continuous improvement is essential: A culture of continuous improvement is necessary to sustain long-term success.

Want to learn how to apply these principles to your own business and achieve similar success? To have a strong foundation in business before expanding, contact me to discuss your specific challenges and explore potential solutions.