The transportation and logistics industry has undergone significant changes in recent times. Due to its cross-functional role, it is a critical link between industries and is often a mirror that reflects imminent changes. Globalization has led to a geographical and service expansion by many logistics providers, with supply chains becoming more complex and comprehensive. Many technology companies are targeting this market, especially the fleet management space, which is growing at the rate of more than 20% year-over-year. The fleet management services market encompasses independent software vendors, system integrators, software as a service (SaaS) and application enablement platform providers in its value chain. Various vendors are capitalizing on the increasing need for operational efficiency, which is expected to be the primary driver for this market.

The client, a leading global footwear firm, was facing challenges in optimizing product offerings and upsells on their ecommerce site. The situation was further complicated by marketplaces that were out-pricing the brand store. The client wanted to leverage both competitive and internal data to address these issues. The client also wanted to identify promotion opportunities for not-so-popular products and recommend ideal upsells that would help promote high-margin, low-cost accessories.

The cloud market is growing at a very fast pace with an increasing number of companies shifting away from legacy IT services to cloud-based services. This is a result of the growing trend among organizations of pursuing a digital business strategy. In order to meet the increasing demand of such cloud services, several new cloud providers have been introduced. The monitoring and analyzing of cloud provider expansion strategies has become vital in order to keep pace with the rapidly growing cloud market. It is also essential to understand the strategy of the cloud providers in venturing into new geographies, expanding their service availability into new regions, initiating new job functions for new services, etc. With the rapidly growing cloud market and the number of cloud providers, it is very crucial for companies to keep track of such activities in order to maintain their position in the market.

The client, a US Telecom and Media Giant, was facing a challenge where many customers preferred to get their Modem Reset done by a customer service agent (call center) rather than through self-service channels (Web, IVR). This preference was leading to increased operating costs for the company. The client engaged Blueocean Market Intelligence’s Digital Customer Experience Solution to understand the reasons behind this preference and use this analysis to optimize self-service channels.

The client, a leading computer technology company, was looking to adopt an innovative marketing solution to sustain sales and deal with tablet cannibalization. They had data on numerous marketing channels and wanted to use this data to simulate the effects of alternative marketing plans and forecast future sales. The client aimed to establish an empirical relationship between sales and marketing and create an ideal mix of marketing channels for three geographic regions. They were faced with key questions such as how to allocate marketing spends, measure the effectiveness of the activities planned, determine the return on investment on marketing spends, and identify the most profitable marketing channels.

The client, a leading fast food restaurant chain, had been experiencing a decline in sales in few US metropolitan areas over a period of time and was interested in understanding these markets more thoroughly. They wanted to quantify the target opportunity through an attitudinal lens, and profile customers by their fast food consumption behavior. The attitude/ lifestyle-based segments also needed to cross over with client ready behavioral segments in order to develop specific offerings keeping past usage/behaviors in mind. They were also interested in targeting “value” segments more strategically so they were looking to build a predictive model to classify prospect customers into attitudinal segments.

The client, a large public utility company based in the US, was facing challenges in establishing a common customer satisfaction framework for both residential and business customers. They needed to identify key metrics and determine the impact of relevant dimensions and factors influencing customer satisfaction. A significant challenge was accounting for low response rates among business customers. The company sought to assess and monitor customer satisfaction and performance drivers and benchmark brand health and performance.

A leading global PC manufacturer wanted to set up a completely automated system of analyzing reviews and ratings for self and competition, enabling actionable insights for product, marketing, and consumer research teams. The client wanted to understand top-rated products by different categories, create an automated solution to categorize unstructured customer reviews, and use NLP and sentiment analysis approach to create insights on behavior and brand perception.

The client, a leading devices and services company, was looking to understand the features and capabilities of IBM’s Bluemix and GE Predix offerings. These platforms offer cloud-based development and application scaling or infrastructure management for deploying and managing apps in the cloud. They also offer a Platform-as-a-Service (PaaS) that virtualizes applications through a combination of open source software and hardware. The client wanted a comprehensive analysis of these offerings, covering details such as overview, the target companies for these solutions, positioning of these solutions, pricing model, community/ analyst feedbacks, etc.