Research Objective

• A US-based manufacturer of personalized gift items with markets in more than 10 countries across North America, Europe and Middle East needed SKU-level demand forecasting to ensure all orders are met while maintaining optimal inventories.
• Over 3000 SKUs across 8 product platforms with a 3-month lead time needed to be tracked.

Scope & Methodology

• A framework was developed to accommodate weekly re-forecasts based on SKU-level actuals-to-date for repeat customers, varied product platforms, new products, etc.
• It was designed to learn from historical trends and project future demand.
• A weekly ‘Early Warning System’ to predict excess and stock-outs was also built.

Value Delivered

• The forecasting tool helped reduce obsolete inventory at the end of the year which freed up working capital and reduced waste.
• It also reduced ‘out-of-stock’ rates leading to increased customer satisfaction and revenue, in part due to preventing unnecessary attrition.

Check out other case studies

• Fine Tuning New Personal Care Products with JAR Analysis – A sensory IHUT case study
• Modeling a Consumer Response Hierarchy to Guide Brand Strategy – A personal care survey analytics case study

Research Objective

• The client had limited information about consumer price responsiveness and the extent of competitor price fluctuations. They needed to predict:
  • Gain/loss in volume share based on price movements in the category.
  • Optimized prices to achieve targeted volume share in the event of competitor price actions.

Scope & Methodology

• The project included building a predictive model to understand interactions among client’s and competitors’ price elasticity. It identified price gaps/thresholds which could result in significant share changes.
• Further, we created a simulator to help identify optimum price bands to operate in given the competitors’ price changes.

Value Delivered

• We proactively identified the maximum price threshold to respond to a List Price Increase
• The tool was extensively used to identify best price strategies in the dynamically changing market.
• The client was able to maintain an optimum price differential against fluctuating competitor pricing.

Check out other related case studies

• Increasing Customer Acceptance For Controversial Pet Food Format – A survey case study
• Improving Sales by Understanding Pain Points of Sales Reps – A home appliance survey case study
• Evaluating the Effectiveness of a Campaign with Brand and Message Recall – A consumer media survey case study

Research Objective

• A senior management team at a financial company needed a high-level, portfolio health review report to draw valuable high level insights, and identify unusual trends over time for their credit card portfolio.

Scope & Methodology

• The client made a range of business intelligence data available including:
  • Account level financial information
  • Credit bureau data for risk profile of accounts
  • Transactional account data

Value Delivered

• The data helped the client better understand historical and future trends related to consumers’ financial behaviors. They were better able to understand where their potential risks were.

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Check out other BFSI case studies

• Automating Distribution of BFSI Performance Metrics – A BFSI automated reporting case study
• Customer Behavioral Segmentation to Support Targeted Marketing – A BFSI data analytics case study
• Removing Customer Barriers to Auto Insurance Renewals – An insurance survey case study

Research Objective

• An asset management firm with a large customer base needed to be more competitive to increase their share of customers with investible assets.
• They needed to better understand their current and potential customers and their behavior so as to grow their business and prevent attrition.

Scope & Methodology

• A comprehensive, meta-analytics solution integrating insights from segmentation data, Habits & Practices data & brand equity data was conducted.
• Key need-states for a variety of consumer segments were identified and brands were overlaid in the market to identify white-space potential.

Value Delivered

• Growing white-space opportunities were identified that showed the brand had potential to stretch their equity and address evolving consumer needs.

Check out other BFSI case studies

• Automating Distribution of BFSI Performance Metrics – A BFSI automated reporting case study
• Creating a Financial Portfolio Health Review Report – A credit card business analytics case study
• Removing Customer Barriers to Auto Insurance Renewals – An insurance survey case study

Research Objective

• A leading health care client needed to understand whether merging their two leading variants and stretching brand equity to meet new states of category growth drivers would be more competitive against quickly growing private label brands.

Scope & Methodology

• A comprehensive, meta-analytics solution integrating insights from segmentation data, Habits & Practices data & brand equity data was conducted.
• Key need-states for a variety of consumer segments were identified and brands were overlaid in the market to identify white-space potential.

Value Delivered

• Growing white-space opportunities were identified that showed the brand had potential to stretch their equity and address evolving consumer needs.

Check out other healthcare case studies

• Tracking Physician Perceptions of Diabetes Pharmaceutical Representatives – A physician survey case study
• Face-to-Face On-Site Medical Leader Interviews – A B2B interview case study
• Building a Strategic Business Plan Grounded in Industry Data – A pharmaceutical data analytics case study

Research Objective

• A global OTC company wished to ground the annual strategic plan for all of their product categories in data drawn from category performance across all markets.
• They needed to identify category growth prospects among top performing markets, ingredients, & brands and map their brands accordingly.

Scope & Methodology

• We processed historic and forecasted data from reputable third parties for about 70 markets by category, sub-category, ingredients, brands, & companies, and adjusted sales based on latest mergers and acquisitions.
• We conducted a root cause analysis to identify top growth prospects and a SWOT analysis to map client’s brands onto this.

Value Delivered

• The client was able to build a more targeted and strategic annual global plan encompassing all categories and brands that would be more competitive in the current and future market.

Check out other healthcare case studies

• Understanding Relative Importance of Healthcare Imaging Features for New Product Development – A survey + MaxDiff case study
• Stretching Brand Equity into White Spaces Using Data Fusion – A pharmaceutical data analytics case study

Research Objective

• A personal care Brand Manager needed to re-define their communication strategy to further enhance their brand equity.
• They needed to understand the best way to improve brand equity among their target consumers.

Scope & Methodology

• Based on survey data, Structural Equation Modelling (SEM) was used to understand key equity themes in the category and the consumer importance hierarchy.
• We then identified which brands in the market owned the key equity themes and were most relevant to consumers.

Value Delivered

• The model gave the brand manager a clear sense of how to:
  • Fine-tune communication strategies and differentiate themselves vs the competition
  • Identify the most desired product attributes
  • Optimize the brand portfolio to promote consumer relevance & response.

Check out other related case studies

• Increasing Customer Acceptance For Controversial Pet Food Format – A survey case study
• Improving Sales by Understanding Pain Points of Sales Reps – A home appliance survey case study
• Evaluating the Effectiveness of a Campaign with Brand and Message Recall – A consumer media survey case study

Research Objective

• An FMCG client needed to assess the operations and revenue effectiveness across their company. They needed to evaluate their key performance indicators and understand their organizational maturity.

Scope & Methodology

• An online questionnaire was launched to 500 business leaders to measure the KPIs and derive the stages of organizational maturity.
• The analysis showed that about 72% of leaders expressed some governance and control of global operation while 42% described some local office independence. 30% are strongly controlled at headquarters with no local independence.
• For operational maturity, about 80% showed high levels of maturity by deploying technology, extensive automation, dedicated roles in operations, and using AI in delivering services. Top success criteria included: Improved brand/customer engagement, staff efficiency, and agility. The success criteria “improved brand/customer engagement” is considered most important for content strategy.

Value Delivered

• The client was able to better understand their operational effectiveness as well as their organizational maturity. As a result of the research, they identified operational areas needing improvement.

Check out other retail case studies

• Optimizing Trade Promotion Spends with a Pricing Simulator – A food business analytics and price simulator case study
• Consumer Perceptions Towards Online Ordering – A retail survey + desk research case study
• Launching a Fast Food Franchise In A Competitive Market – A retail survey + competitive analysis case study

Research Objective

• A personal care client developing a new product needed to understand the ‘must have’ attributes of their product.
• Specifically, they needed to know whether to dial up or down the scent, consistency, and dispersal amount to achieve the optimum level of each attribute.

Scope & Methodology

• After testing three product variants, participants rated the intensity of several attributes – how did it compare to being “Just About Right”
• 5 point scale ratings were converted to 3 point scales and mean likeability scores were calculated for each attribute followed by mean drop scores for the off-limit groups.

Value Delivered

• The product development team was able to understand which product features of the three variants were more and less desirable, and were able to adjust the thickness and scent strength appropriately to improve likability of the product.

Check out other related case studies

• Increasing Customer Acceptance For Controversial Pet Food Format – A survey case study
• Improving Sales by Understanding Pain Points of Sales Reps – A home appliance survey case study
• Evaluating the Effectiveness of a Campaign with Brand and Message Recall – A consumer media survey case study

Research Objective

• A food retailer made some changes in their processes for an existing line of ready-to-eat products and wanted to understand the impacts on customer preferences for the redeveloped product.
• A Central-Location-Test followed by a survey was determined to be most appropriate to compare perceptions of the new test products and the original control products.

Scope & Methodology

• Consumers tested the products and rated them against a series of emotional perceptions
• Among others, key statistics conducted included:
  • • Just About Right (JAR) analysis
    • Penalty analysis
    • Sentiment analysis
    • Likeability analysis
• For Flavor 1, 47% of people preferred the new test flavor over control. The old flavor won. And, for Flavor 2, 59% of people preferred the new test flavor over control. The new flavor won.

Value Delivered

• The first Control flavor was associated with more positive feelings like exciting, social, inviting, and loving, whereas the second Test flavor was associated with more positive feelings like exciting and social.
• The client learned that the changes in product processes were successful for one flavor but less so for the second flavor.

Check out other food case studies

• Benchmarking Brand Awareness and Competitive Brand Space – A consumer food survey case study
• Sentiment and Content Analysis of Qualitative Consumer Comments – A food survey + text analysis case study
• Tracking Customer Satisfaction Across 8 Countries – A food consumer survey case study