Download PDF
Global CPG giant achieved mass personalized customer engagement for enhanced brand loyalty and product innovation
Technology Category
- Analytics & Modeling - Big Data Analytics
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Consumer Goods
Applicable Functions
- Product Research & Development
- Sales & Marketing
Services
- Data Science Services
The Challenge
The client, a leading CPG company, had limited access to customer behavior, preferences, and need states based on primary MR data. They wanted detailed insights into key attributes such as need states and consumer preferences, opportunities for product innovation, enriching the existing consumer database using social data and mapping it to DB, and using the platform for direct marketing and 1:1 customer mapping. The challenge was to define the exact requirements which the solution should fulfill, identify different demand spaces for client products and attributes, and configure the platform based on client needs.
About The Customer
The customer is a leading company in the Consumer Goods and Services industry. The company was facing challenges in accessing detailed insights into customer behavior, preferences, and need states. They were relying on primary MR data, which was not providing them with the depth of information they required. The company wanted to enrich their existing consumer database using social data and map it to DB. They also wanted to use the platform for direct marketing and 1:1 customer mapping. The company was looking for a solution that could provide them with detailed insights into key attributes such as need states and consumer preferences, and opportunities for product innovation.
The Solution
Blueocean Market Intelligence team conducted a series of workshops to define the exact requirements which the solution should fulfill. The scope of the workshop included business users, type of insights, type of profiles need to be mapped, type of business questions/hypothesis the insights and the platform should provide. They identified different demand spaces for client products and attributes. They leveraged Blueocean Market Intelligence proprietary ontologies to generate data from digital platforms. They configured the platform based on client needs and enhanced visualization options for the client to drill-down and identify opportunities to engage and act.
Operational Impact
Quantitative Benefit
Related Case Studies.
.png)
Case Study
Improving Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
Case Study
Series Production with Lot-size-1 Flexibility
Nobilia manufactures customized fitted kitchens with a lot size of 1. They require maximum transparency of tracking design data and individual processing steps so that they can locate a particular piece of kitchen furniture in the sequence of processes.
Case Study
American Eagle Achieves LEED with GE LED Lighting Fixtures
American Eagle Outfitters (AEO) was in the process of building a new distribution center. The AEO facility management team decided to look at alternate options for lighting layout that could provide energy and maintenance savings. AEO would need a full-time maintenance employee just to replace burned-out fluorescent tubes.
Case Study
Revolutionizing Rodent Control
From pet- and child-safe traps, to touch-free and live-catch rodent control solutions, Victor continues to stay committed to producing superior products that meet the varying needs of today’s pest control professionals. And, with a long standing history supporting customers in the food processing, service, and retail settings, Victor knew that strict regulations were costing organizations thousands of dollars in excess overhead trying to manage their rodent-control solutions. Trap inspections in these environments are often difficult and time consuming, requiring personnel to manually check a trap’s status multiple times per day, amounting to over six hours of manual labor. Victor is looking for an innovative way to increase operational efficiencies with the use of technology.
