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

• A company needed to evaluate customer satisfaction and purchase drivers for a bread product available globally.

Scope & Methodology

• A cross-country, online survey was designed to identify purchase drivers and track weekly, monthly, and quarterly changes in satisfaction over time.
• A minimum of 300 completes were gathered per country, per wave.
• The survey identified ongoing changes in consumer opinion, consumer satisfaction, and purchase drivers among 8 countries over an extended period of time.
• In addition, a derived importance analysis was conducted to assess the strength of relationship between overall satisfaction and key driver.
• The client learned that satisfaction is most highly correlated with discounts/offers (r=0.7), product composition (r=0.5), and availability (r=0.5). They also learned that about 66% of participants are satisfied with the product, where as 10% are dissatisfied. By market, customers in France have the highest level of satisfaction at around 80%.

Value Delivered

• The client was able to understand how satisfaction related to price points, product composition, and availability. They also benchmarked product satisfaction rates and learned how countries ranked in terms of their levels of satisfaction.

Check out other food case studies

• Measuring Consumer Preferences for Successful Ready-To-Eat Development | A Sensory Research Case Study
• 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

Research Objective

• A new food delivery company wished to understand consumer perceptions of online food delivery services in an Indian market.
• They needed to understand:
  • Why consumers choose online delivery services
  • Perceptions of online food delivery portals
  • Barriers to using online food delivery services
  • The competitive environment including expansions, new product launches
• They also needed to understand key drivers, challenges, and perceptions of pricing.

Scope & Methodology

• A structured questionnaire was designed to identify which food delivery websites consumers are using and why, and focused on key drivers, pricing, and trends in the online food ordering and delivery market.
• The target audience included students, self-employed people, homemakers, and service employees.
• Secondary data sources included news articles, company annual reports, a variety of websites, press releases, and other relevant, trusted documents.
• Key analyses included:
  • Understanding customer satisfaction with ordering and searching for specific food items
  • Identifying more suitable restaurant selections given the desired food item
  • Understanding desires for offers and discounts
  • Understanding concerns about on-time delivery needs and customer services
  • Understanding customer needs and wants for improving the online food ordering process.

Value Delivered

• Our expert analyses enabled the client to better understand customer desires in product offerings, customer satisfaction, and regional presence of all major food delivery competitors.
• Comprehensive findings and insights allowed them to make more strategic decisions grounded in data to facilitate the expansion of their business.

Check out other retail case studies

• Optimizing Trade Promotion Spends with a Pricing Simulator – A food business analytics and price simulator case study
• Launching a Fast Food Franchise In A Competitive Market – A retail survey + competitive analysis case study
• Improving Operational Effectiveness at a CPG Company – A retail B2B survey case study

Research Objective

• An automotive insurance company wished to increase growth and retention among various customer segments. To do this, they needed to understand and size unmet needs and barriers to sign-up and renewal.
• They also wished to understand which products and features required re-evaluation or discontinuation.

Scope & Methodology

A survey was designed to identify:

• Problems with automotive monitoring and privacy apps and technologies currently being used as well as any associated solutions
• Current behaviors related to customer satisfaction, and reviewing and changing insurance providers
• Potential impacts of resolving barriers

Among other metrics, the survey identified the types of information people are currently sharing via their usage-based-insurance (UBI) program, as well as various reasons they have for switching providers. The data showed that people shared a wide range of data but they were still seeking a greater degree of trust and better customer service experiences.

Value Delivered

• The client was able to understand renewal barriers among their customers and make necessary adjustments in their existing automotive insurance offerings.
• The client was also able to identify and understand unique needs of various user segments to permit more targeted marketing and needs based offerings.

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
• Customer Behavioral Segmentation to Support Targeted Marketing – A BFSI data analytics case study