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VRIO Analysis of Customer Analytics at Bigbasket - Product Recommendations
Posted by Sabrina Warren on Feb-27-2023
The Customer Analytics at Bigbasket - Product Recommendations is exposed to, as well as has ownership of different resources. The Customer Analytics at Bigbasket - Product Recommendations uses these resources for meeting its goals, as well as for developing and expanding different growth opportunities. The VRIO analysis is used by the Customer Analytics at Bigbasket - Product Recommendations for assessing and evaluating these resources to help leadership and management to identify different strengths and weaknesses, and work towards using the same to enhance the business standing and proposition (Knott, 2015).
VRIO importance
More importantly, the VRIO analysis is used by the Customer Analytics at Bigbasket - Product Recommendations to evaluate and identify the different competitive advantages that different resources can offer. In doing so, the Customer Analytics at Bigbasket - Product Recommendations is able to identify resources that offer a long-term sustainable competitive advantage, and work towards building the same for increased opportunities (Chatzoglou, Chatzoudes, Sarigiannidis, & Theriou, 2018). Customer Analytics at Bigbasket - Product Recommendations VRIO analysis is a strategic tool that allows the Customer Analytics at Bigbasket - Product Recommendations to identify resources that offer a temporary competitive advantage – allowing the company to strategize tactics to then turn these into factors of long-term competitiveness.
The VRIO analysis largely assesses resources as being Valuable, rare, inimitable, and organized.
Valuable
Resources are valuable if they allow the Customer Analytics at Bigbasket - Product Recommendations to enhance its efficiency and effectiveness through facilitating strategy implementation and realization. Moreover, resources are also valuable if they allow the Customer Analytics at Bigbasket - Product Recommendations to successfully manage the threats it is exposed to, and capitalize on different opportunities through helping build internal strengths, and manage weaknesses appropriately (Lasserre, 2017). Some examples of valuable resources for Customer Analytics at Bigbasket - Product Recommendations include the following:
Strong global presence
The Customer Analytics at Bigbasket - Product Recommendations has a presence across various international locations and countries. The Customer Analytics at Bigbasket - Product Recommendations has expanded its manufacturing operations across different countries in Asia and Europe. The Customer Analytics at Bigbasket - Product Recommendations uses these manufacturing sites as central supply locations and hubs for different regions as well (Abratt & Bendixen, 2018).
Branch network
The Customer Analytics at Bigbasket - Product Recommendations has a strong branch and store network across different regions in various international locations – including the UK, USA, China, and Australia, and across Europe. The Customer Analytics at Bigbasket - Product Recommendations has developed its store network in locations that offer the company high visibility, and promise a high customer footfall (Baines, Fill, & Rosengren, 2017).
Supply chain management
Owing to the global presence, and international operations, the Customer Analytics at Bigbasket - Product Recommendations also has an internally managed supply chain network. The supply chain network ensures consistently high quality, and timely manufacture and delivery of the products offered by the Customer Analytics at Bigbasket - Product Recommendations to retailers, distributors, as well as end consumers (Chernev, 2018).
Risk management
The Customer Analytics at Bigbasket - Product Recommendations has developed an internal means and system for identifying, managing, and mitigating environmental risks and threats. These risks include fluctuation in prices of raw materials, as well as political instability in regions where it operates. The internal risk management system for Customer Analytics at Bigbasket - Product Recommendations comprises of continuous observation of the environment, and development of proactive strategies, as well as training of its personnel for responding to the same (Deepak & Jeyakumar, 2019).
Technological advancement
The Customer Analytics at Bigbasket - Product Recommendations makes use of technological advancement for achieving economies of scale. The presence across various global locations has allowed the Customer Analytics at Bigbasket - Product Recommendations to develop a seamless technological infrastructure for knowledge sharing. Customer Analytics at Bigbasket - Product Recommendations is also able to implement processes of improvement internally (Iacobucci, 2021).
Use of AI
The Customer Analytics at Bigbasket - Product Recommendations also makes use of AI for improving internal efficiencies and processes as well as for improving the consumer experience. The use of AI internally has allowed the Customer Analytics at Bigbasket - Product Recommendations to reduce the error rates, and improve logistic management, for example.
User experience
The Customer Analytics at Bigbasket - Product Recommendations focuses on enhancing the user experience for maintaining loyalty. The use of AI especially has allowed the company to improve the user experience through providing 24/7 customer support, as well as developing relevant purchase prompts for consumers based on their browsing histories (Sahaf, 2019).
Customer service
The customer service offered by Customer Analytics at Bigbasket - Product Recommendations is an important and valuable resource that helps the company differentiate its offerings from that of the competition. The Customer Analytics at Bigbasket - Product Recommendations offers 24/7 online support to consumers, and has a team of trained personnel for providing customer services on physical locations (Gillespie & Swan, 2021).
Research and development
The Customer Analytics at Bigbasket - Product Recommendations makes a substantial investment in research and development. The research and development allows the Customer Analytics at Bigbasket - Product Recommendations to stay updated with the market and consumer trends – thereby allowing the Customer Analytics at Bigbasket - Product Recommendations to tailor its offerings and marketing efforts accordingly. The research and development also allows the Customer Analytics at Bigbasket - Product Recommendations to improve its production processes, and improve efficiency levels continuously (Grewal & Levy, 2021).
Product offering
The Customer Analytics at Bigbasket - Product Recommendations focuses on maintaining consistent quality for its product offerings. Moreover, the Customer Analytics at Bigbasket - Product Recommendations also ensures that the product offerings meet the consumer needs and demands. For this purpose, it engages in the localization of its product offerings across different regions and locations (Abratt & Bendixen, 2018).
Financial resources
The financial resources and capability at the Customer Analytics at Bigbasket - Product Recommendations allows minimum dependence on debt. The Customer Analytics at Bigbasket - Product Recommendations has a higher dependence on equity for expansion and development purposes. This ensures lower vulnerability of the company, and gives the Customer Analytics at Bigbasket - Product Recommendations increased freedom and independence for pursuing business objectives and goals (Groucutt & Hopkins, 2015).
Marketing activities
The Customer Analytics at Bigbasket - Product Recommendations engages in marketing activities for appealing to its target audience across different countries and regions. The marketing communication is tailored to take into account different cultural considerations across these locations and regions. Moreover, the Customer Analytics at Bigbasket - Product Recommendations ensures to appeal to the functional as well as emotional fronts of the consumers - using insights from its research and development activities (Kotler & Keller, 2021).
Rare
Rare resources for the Customer Analytics at Bigbasket - Product Recommendations are those which are not easily and readily available for the competing players. These resources are rare for the Customer Analytics at Bigbasket - Product Recommendations because of the firm’s unique position and access to the resources – which is otherwise difficult and challenging to acquire. This makes rare resources cost-intensive for other organizations (Phillips & Moutinho, 2018).
Manufacturing and distribution licenses
Customer Analytics at Bigbasket - Product Recommendations has gained special licensing permissions for manufacturing and distribution in various regions ad countries – some of which are more remote and stringent towards international firms. The Customer Analytics at Bigbasket - Product Recommendations has been able to do so based on its strong team of lawyers and policy interpreters, as well as because of the goodwill it has developed over the years (Kotler & Keller, 2021).
Access to raw materials
Customer Analytics at Bigbasket - Product Recommendations has access to different raw materials that support its quality maintenance of product offerings. The access to raw materials for the Customer Analytics at Bigbasket - Product Recommendations is largely based on the company’s unique position and its investments in research and development. Both of these have allowed the Customer Analytics at Bigbasket - Product Recommendations to substantially develop its capabilities (Buchanan & Huczynski, 2019).
Equipment
The Customer Analytics at Bigbasket - Product Recommendations has access to world-class equipment. This equipment and technology is not readily and easily available to its competing players. The Customer Analytics at Bigbasket - Product Recommendations has access to this equipment for increasing efficiency, and improving economies of scale based on its vast operations, and partnerships with various regional governments (McShane & Glinow, 2017).
Intellectual property
The Customer Analytics at Bigbasket - Product Recommendations has multiple policies regarding intellectual property, and thoroughly implements policies and regulations regarding the same internally. In addition, the company also follows external regulations for intellectual property protection. This allows the Customer Analytics at Bigbasket - Product Recommendations to sustain its creativity and successfully continue to experiment with new product ideas (Chernev, 2018).
Patents
The Customer Analytics at Bigbasket - Product Recommendations has different patents registered under its name. This is done by the Customer Analytics at Bigbasket - Product Recommendations to safeguard its innovative capacities, and maintain regulated intellectual property rights. This helps the Customer Analytics at Bigbasket - Product Recommendations stay ahead of the competition, and secure new technology and ideas to maintain the first mover, and unique competitive advantage over other players (Wunder, 2019).
Sustainable manufacturing
Based on its unique environment for development and innovation, as well as because of its engagement with advanced technology and equipment, the Customer Analytics at Bigbasket - Product Recommendations has developed processes for successful sustainable manufacturing. This resource allows the company to appeal to green consumers, and at the same time, maintain higher internal efficiencies and profitability (Tonelli & Cristoni, 2018).
Eco-packaging
The Customer Analytics at Bigbasket - Product Recommendations is also successfully engaging with, and producing eco-based packaging. This resource is important for the Customer Analytics at Bigbasket - Product Recommendations, and allows it to improve its processes as well as brand perception. Competing players do not have access to the needed intellectual property, ideas, or machines to successfully, and efficiently apply this to their internal business processes and offerings (Tonelli & Cristoni, 2018).
Inimitable
Inimitable resources for the Customer Analytics at Bigbasket - Product Recommendations are those which are hard and costly to copy and imitate by other players, and competitive rivals in the industry. Inimitable resources offer a long-term competitive advantage to Customer Analytics at Bigbasket - Product Recommendations. Customer Analytics at Bigbasket - Product Recommendations has different resources that are hard to imitate, or are perfectly inimitable largely because of factors of historical context; and unique historical conditions; causal ambiguity, and/or social complexity (Stead & Stead, 2014).
For Customer Analytics at Bigbasket - Product Recommendations, a number of resources are inimitable because of their uniqueness to the company itself. These include:
Organizational culture
The organizational culture is unique to the Customer Analytics at Bigbasket - Product Recommendations – developed through the Customer Analytics at Bigbasket - Product Recommendations’s core values and beliefs, as well as its structure and managing style. The culture of the Customer Analytics at Bigbasket - Product Recommendations leads to improved employee performance, and facilitates organizational success (Abbas, 2017).
HRM policies and activities
The Customer Analytics at Bigbasket - Product Recommendations has also built a strong HRM department internally which supports the business, and its strategies. This support is extended through various HRM functions such as hiring, and training activities and opportunities. These activities are aligned with the business goals and strategic direction for ensuring high organizational performance, and the right talent match for the Customer Analytics at Bigbasket - Product Recommendations (Mariappanadar, 2019).
Compensation Framework
The Customer Analytics at Bigbasket - Product Recommendations also has a unique compensation system to support internal activities and functions. The compensation system is rooted in employee motivation and needs. The Customer Analytics at Bigbasket - Product Recommendations invests in understanding the needs of the employees, and then designs rewards accordingly- linking them with the job responsibilities and tasks (Mariappanadar, 2019; DuBrin, 2013).
Brand equity
The Customer Analytics at Bigbasket - Product Recommendations has developed strong brand equity over time. The Customer Analytics at Bigbasket - Product Recommendations has successfully, and continually delivered on its brand promise by providing high quality offerings. This has allowed the buildup of consumer trust as well as positive brand perception leading to higher brand equity for Customer Analytics at Bigbasket - Product Recommendations (Kotler & Keller, 2021).
Brand loyalty
The Customer Analytics at Bigbasket - Product Recommendations has a high brand loyalty. Based on its offerings, quick customer service, and after-sales service, the Customer Analytics at Bigbasket - Product Recommendations has developed a high brand loyalty amongst customers. These customers conduct repeat purchases of the Customer Analytics at Bigbasket - Product Recommendations’s offerings and products because of higher satisfaction levels (Baines, Fill, & Rosengren, 2017).
Brand awareness
The marketing activities of the Customer Analytics at Bigbasket - Product Recommendations are carefully tailored and targeted, and based on the emotional appeal that the company provides in its offerings to the customers. This in turn leads to a positive buzz. The viral buzz, as well as positive marketing efforts, have led to high brand awareness for the Customer Analytics at Bigbasket - Product Recommendations amongst not only its own target customers, but also amongst secondary groups (Sahaf, 2019).
Goodwill
Customer Analytics at Bigbasket - Product Recommendations has continually delivered on its promise, and has thus developed a positive brand perception. As a result of this, the Customer Analytics at Bigbasket - Product Recommendations has built positive goodwill over the years. This goodwill allows the Customer Analytics at Bigbasket - Product Recommendations to confidently launch new products in the market that consumers readily accept and consume (Grewal & Levy, 2021).
Innovation
The Customer Analytics at Bigbasket - Product Recommendations continually engages in innovation and creativity as well. The company has a team for business development that engages in the process of new product design and development. The Customer Analytics at Bigbasket - Product Recommendations also invests in the creative development of its employees for facilitating and encouraging new idea generation, and emphasizes on employee empowerment for the same purpose (McShane & Glinow, 2017).
Organizational leadership
The Customer Analytics at Bigbasket - Product Recommendations has a supportive leadership. The leadership style at Customer Analytics at Bigbasket - Product Recommendations is participative which encourages discussion, and creates trust and a positive work environment. In addition, the leadership at Customer Analytics at Bigbasket - Product Recommendations is transparent and accessible, and works closely to improve and build the organizational culture through promoting core beliefs and values (Schein, 2010).
Employee commitment
The employees at the Customer Analytics at Bigbasket - Product Recommendations display high levels of job satisfaction. This is because the Customer Analytics at Bigbasket - Product Recommendations continually engages the employees with challenging tasks, trainings for personal and professional development, as well as motivational work responsibilities and teamwork. This results in increased levels of job satisfaction amongst employees of Customer Analytics at Bigbasket - Product Recommendations, leading in turn to high levels of employee commitment (Mariappanadar, 2019).
Branding activities
The Customer Analytics at Bigbasket - Product Recommendations invests in branding activities for building its brand as well as a positive consumer perception. These branding activities for the Customer Analytics at Bigbasket - Product Recommendations involve not only the marketing communications, but also the development of a suitable marketing mix for the company. The branding activities help the Customer Analytics at Bigbasket - Product Recommendations increase brand awareness, as well as increase its reach and penetration amongst the target audience (Iacobucci, 2021).
Organized
The Customer Analytics at Bigbasket - Product Recommendations is able to capitalize on different opportunities based on the various resources available to it through being organized. This factor of the strategic framework evaluates and assesses how organized and structured the Customer Analytics at Bigbasket - Product Recommendations is. The factor also reviews how the Customer Analytics at Bigbasket - Product Recommendations is able to benefit from the various resources that are available to it towards building sustainable competitive advantage (Chatzoglou, Chatzoudes, Sarigiannidis, & Theriou, 2018; Stead & Stead, 2014). This part of the strategic framework for the Customer Analytics at Bigbasket - Product Recommendations allows it to identify and examine different resources it has closely to be able to optimally benefit from them.
Physical infrastructure
One of the best ways through which the Customer Analytics at Bigbasket - Product Recommendations is able to capitalize on the various internal and external opportunities is through the development of its physical infrastructure. The infrastructure of the Customer Analytics at Bigbasket - Product Recommendations allows it to develop economies of scale as well as enhance its various manufacturing and operational processes (Buchanan & Huczynski, 2019).
Technological infrastructure
The technological infrastructure of the Customer Analytics at Bigbasket - Product Recommendations allows it to benefit from the latest technological trends such as the inclusion of artificial intelligence and automation in its operational processes and schedules. The technological infrastructure has facilitated the Customer Analytics at Bigbasket - Product Recommendations to improve its production and efficiency rates as well as reduce its errors. The technological infrastructure also led the Customer Analytics at Bigbasket - Product Recommendations to benefit from potential advancements such as social media marketing and e-commerce (DuBrin, 2013).
Network support
The Customer Analytics at Bigbasket - Product Recommendations is able to further benefit from consuming of various resources available through the presence of a strong internal network. This network includes not only the physical and technological infrastructure but also the organizational network and alignment of operations locally and globally. This coordination and network allows the Customer Analytics at Bigbasket - Product Recommendations to realize its strategic goals (Phillips & Moutinho, 2018).
Training and development
As the Customer Analytics at Bigbasket - Product Recommendations is exposed to new resources and builds on old resources, it is important to update the skills of the employees. The Customer Analytics at Bigbasket - Product Recommendations continually invests in the training and development of its labor force. This ensures that the Customer Analytics at Bigbasket - Product Recommendations stays ahead of the competition.
The Customer Analytics at Bigbasket - Product Recommendations maintains frequent internal training and development opportunities to help the growth of employees and improve their performance (Mariappanadar, 2019; Stead & Stead, 2014).
International Exposure
The growth and expansion of the Customer Analytics at Bigbasket - Product Recommendations and its business along international fronts have given it considerable exposure to understand different cultural requirements and operational details. This exposure is important for the Customer Analytics at Bigbasket - Product Recommendations to allocate resources accordingly towards different regions and production sites; and manage them in the most efficient and effective manner possible (Kotler & Keller, 2021).
International learning
The international exposure that the Customer Analytics at Bigbasket - Product Recommendations also enables increased sharing of knowledge across borders. This knowledge sharing and knowledge development allows continuous learning internally for the Customer Analytics at Bigbasket - Product Recommendations. This learning then helps the Customer Analytics at Bigbasket - Product Recommendations to work towards to the development of strategic structures within the organization as well as design more sophisticated management styles and tools to improve the management of resources (Daneshmandnia, 2019).
Organizational hierarchy
Optimization of the resources available to the Customer Analytics at Bigbasket - Product Recommendations is because the organization has a flatter hierarchy which leads to easier access to the leadership and quicker decision-making processes. This enables higher employee empowerment and participation as well as leads to increased organizational commitment and responsibility (Deepak & Jeyakumar, 2019).
Supportive leadership
The leadership of the Customer Analytics at Bigbasket - Product Recommendations is largely supportive and ensures the development of the management team and the employees. The support of the leadership within the Customer Analytics at Bigbasket - Product Recommendations allows space for quicker decisions as well as makes room for capitalizing on the opportunities and mitigating risks accordingly. This in turn allows for improved Resource management and optimization (Schein, 2010).
Effective change management processes
The Customer Analytics at Bigbasket - Product Recommendations engages all employees in the change management process and ensures that there is transparent communication regarding the need as well as the implementation of the same. This allows the Customer Analytics at Bigbasket - Product Recommendations to manage resources more effectively as well as build on other resources to help the company achieve its strategic and business objectives and goals (Pollack & Pollack, 2015).
Conclusion
The VRIO assessment is an important strategic tool that allows the Customer Analytics at Bigbasket - Product Recommendations to identify various resources which can lead to different forms of competitive advantages. The VRIO assessment and model allows the Customer Analytics at Bigbasket - Product Recommendations to identify resources that can be used for developing sustainable competitive advantage over the long term as well as allows the Customer Analytics at Bigbasket - Product Recommendations to invest in, and build other resources for the same purpose.
In addition, the strategic tool allows managers of the company to identify resources which can lead to competitive disadvantage. As such the VRIO assessment is an important source of resource evaluation as well as identification of the same.
References:
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