Case Study Description of Customer Analytics at Bigbasket - Product Recommendations
Bigbasket was India's largest online grocery and food store established in 2011 by a group of entrepreneurs Hari Menon, Vipul Parekh, V S Ramesh, V S Sudhakar, and Abhinay Choudhari. In 2016, Bigbasket sold more than 18,000 products and 1,000 brands operating across 12 Indian cities. Online grocery market in India has been small, but a rapidly growing segment. According to "The Retailer" Ernst and Young's publication in consumer products and retail sector, during July-September 2015, India was among the top-10 food and grocery markets in the world, with an estimated size of INR 22.5 trillion (approximately USD 350 billion). The market has grown at 10-12% CAGR between 2010 and 2015, with food and grocery being the largest segment, accounting for close to 60% in 2015 alone. The protagonist of the case, Pramod Jajoo, Chief Technology Officer, at Bigbasket was trying to solve two problems frequently encountered by customers of online grocery stores. It was estimated that about 30% of Bigbasket customers place orders through smart phones. Unlike other e-commerce companies such as Amazon, Bigbasket customers place order for several products in a single order, sometimes as high as 80 in one order depending on their purchase frequency. When the basket size is high, using smart phones to place order is challenging. Also, it is a common phenomenon that customers forget to place order few grocery items which may result either in placing additional orders or customers purchasing those products from neighborhood stores resulting in a financial loss to online grocery stores. Jajoo and his team wanted to create a "Smart Basket" that would make placing orders easier for their customers and "Did you forget?" feature that would identify the items the customer may have forgotten to order.
Authors :: Paul Abraham, Manaranjan Pradhan, Lakshminarayanan S, Ganesh Iyer
Swot Analysis of "Customer Analytics at Bigbasket - Product Recommendations" written by Paul Abraham, Manaranjan Pradhan, Lakshminarayanan S, Ganesh Iyer includes – strengths weakness that are internal strategic factors of the organization, and opportunities and threats that Bigbasket Grocery facing as an external strategic factors. Some of the topics covered in Customer Analytics at Bigbasket - Product Recommendations case study are - Strategic Management Strategies, Sales and Sales & Marketing.
Some of the macro environment factors that can be used to understand the Customer Analytics at Bigbasket - Product Recommendations casestudy better are - – central banks are concerned over increasing inflation, banking and financial system is disrupted by Bitcoin and other crypto currencies, competitive advantages are harder to sustain because of technology dispersion, technology disruption, supply chains are disrupted by pandemic , challanges to central banks by blockchain based private currencies, customer relationship management is fast transforming because of increasing concerns over data privacy,
increasing household debt because of falling income levels, talent flight as more people leaving formal jobs, etc
Introduction to SWOT Analysis of Customer Analytics at Bigbasket - Product Recommendations
SWOT stands for an organization’s Strengths, Weaknesses, Opportunities and Threats . At Oak Spring University , we believe that protagonist in Customer Analytics at Bigbasket - Product Recommendations case study can use SWOT analysis as a strategic management tool to assess the current internal strengths and weaknesses of the Bigbasket Grocery, and to figure out the opportunities and threats in the macro environment – technological, environmental, political, economic, social, demographic, etc in which Bigbasket Grocery operates in.
According to Harvard Business Review, 75% of the managers use SWOT analysis for various purposes such as – evaluating current scenario, strategic planning, new venture feasibility, personal growth goals, new market entry, Go To market strategies, portfolio management and strategic trade-off assessment, organizational restructuring, etc.
SWOT Objectives / Importance of SWOT Analysis and SWOT Matrix
SWOT analysis of Customer Analytics at Bigbasket - Product Recommendations can be done for the following purposes –
1. Strategic planning using facts provided in Customer Analytics at Bigbasket - Product Recommendations case study
2. Improving business portfolio management of Bigbasket Grocery
3. Assessing feasibility of the new initiative in Sales & Marketing field.
4. Making a Sales & Marketing topic specific business decision
5. Set goals for the organization
6. Organizational restructuring of Bigbasket Grocery
Strengths Customer Analytics at Bigbasket - Product Recommendations | Internal Strategic Factors
What are Strengths in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The strengths of Bigbasket Grocery in Customer Analytics at Bigbasket - Product Recommendations Harvard Business Review case study are -
Ability to lead change in Sales & Marketing field
– Bigbasket Grocery is one of the leading players in its industry. Over the years it has not only transformed the business landscape in its segment but also across the whole industry. The ability to lead change has enabled Bigbasket Grocery in – penetrating new markets, reaching out to new customers, and providing different value propositions to different customers in the international markets.
Diverse revenue streams
– Bigbasket Grocery is present in almost all the verticals within the industry. This has provided firm in Customer Analytics at Bigbasket - Product Recommendations case study a diverse revenue stream that has helped it to survive disruptions such as global pandemic in Covid-19, financial disruption of 2008, and supply chain disruption of 2021.
Superior customer experience
– The customer experience strategy of Bigbasket Grocery in the segment is based on four key concepts – personalization, simplification of complex needs, prompt response, and continuous engagement.
Low bargaining power of suppliers
– Suppliers of Bigbasket Grocery in the sector have low bargaining power. Customer Analytics at Bigbasket - Product Recommendations has further diversified its suppliers portfolio by building a robust supply chain across various countries. This helps Bigbasket Grocery to manage not only supply disruptions but also source products at highly competitive prices.
Organizational Resilience of Bigbasket Grocery
– The covid-19 pandemic has put organizational resilience at the centre of everthing that Bigbasket Grocery does. Organizational resilience comprises - Financial Resilience, Operational Resilience, Technological Resilience, Organizational Resilience, Business Model Resilience, and Reputation Resilience.
Innovation driven organization
– Bigbasket Grocery is one of the most innovative firm in sector. Manager in Customer Analytics at Bigbasket - Product Recommendations Harvard Business Review case study can use Clayton Christensen Disruptive Innovation strategies to further increase the scale of innovtions in the organization.
Successful track record of launching new products
– Bigbasket Grocery has launched numerous new products in last few years, keeping in mind evolving customer preferences and competitive pressures. Bigbasket Grocery has effective processes in place that helps in exploring new product needs, doing quick pilot testing, and then launching the products quickly using its extensive distribution network.
Sustainable margins compare to other players in Sales & Marketing industry
– Customer Analytics at Bigbasket - Product Recommendations firm has clearly differentiated products in the market place. This has enabled Bigbasket Grocery to fetch slight price premium compare to the competitors in the Sales & Marketing industry. The sustainable margins have also helped Bigbasket Grocery to invest into research and development (R&D) and innovation.
Effective Research and Development (R&D)
– Bigbasket Grocery has innovation driven culture where significant part of the revenues are spent on the research and development activities. This has resulted in, as mentioned in case study Customer Analytics at Bigbasket - Product Recommendations - staying ahead in the industry in terms of – new product launches, superior customer experience, highly competitive pricing strategies, and great returns to the shareholders.
Training and development
– Bigbasket Grocery has one of the best training and development program in the industry. The effectiveness of the training programs can be measured in Customer Analytics at Bigbasket - Product Recommendations Harvard Business Review case study by analyzing – employees retention, in-house promotion, loyalty, new venture initiation, lack of conflict, and high level of both employees and customer engagement.
Highly skilled collaborators
– Bigbasket Grocery has highly efficient outsourcing and offshoring strategy. It has resulted in greater operational flexibility and bringing down the costs in highly price sensitive segment. Secondly the value chain collaborators of the firm in Customer Analytics at Bigbasket - Product Recommendations HBR case study have helped the firm to develop new products and bring them quickly to the marketplace.
High switching costs
– The high switching costs that Bigbasket Grocery has built up over years in its products and services combo offer has resulted in high retention of customers, lower marketing costs, and greater ability of the firm to focus on its customers.
Weaknesses Customer Analytics at Bigbasket - Product Recommendations | Internal Strategic Factors
What are Weaknesses in SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The weaknesses of Customer Analytics at Bigbasket - Product Recommendations are -
High bargaining power of channel partners
– Because of the regulatory requirements, Paul Abraham, Manaranjan Pradhan, Lakshminarayanan S, Ganesh Iyer suggests that, Bigbasket Grocery is facing high bargaining power of the channel partners. So far it has not able to streamline the operations to reduce the bargaining power of the value chain partners in the industry.
No frontier risks strategy
– After analyzing the HBR case study Customer Analytics at Bigbasket - Product Recommendations, it seems that company is thinking about the frontier risks that can impact Sales & Marketing strategy. But it has very little resources allocation to manage the risks emerging from events such as natural disasters, climate change, melting of permafrost, tacking the rise of artificial intelligence, opportunities and threats emerging from commercialization of space etc.
High cash cycle compare to competitors
Bigbasket Grocery has a high cash cycle compare to other players in the industry. It needs to shorten the cash cycle by 12% to be more competitive in the marketplace, reduce inventory costs, and be more profitable.
Products dominated business model
– Even though Bigbasket Grocery has some of the most successful products in the industry, this business model has made each new product launch extremely critical for continuous financial growth of the organization. firm in the HBR case study - Customer Analytics at Bigbasket - Product Recommendations should strive to include more intangible value offerings along with its core products and services.
Employees’ incomplete understanding of strategy
– From the instances in the HBR case study Customer Analytics at Bigbasket - Product Recommendations, it seems that the employees of Bigbasket Grocery don’t have comprehensive understanding of the firm’s strategy. This is reflected in number of promotional campaigns over the last few years that had mixed messaging and competing priorities. Some of the strategic activities and services promoted in the promotional campaigns were not consistent with the organization’s strategy.
Workers concerns about automation
– As automation is fast increasing in the segment, Bigbasket Grocery needs to come up with a strategy to reduce the workers concern regarding automation. Without a clear strategy, it could lead to disruption and uncertainty within the organization.
Increasing silos among functional specialists
– The organizational structure of Bigbasket Grocery is dominated by functional specialists. It is not different from other players in the Sales & Marketing segment. Bigbasket Grocery needs to de-silo the office environment to harness the true potential of its workforce. Secondly the de-silo will also help Bigbasket Grocery to focus more on services rather than just following the product oriented approach.
Skills based hiring
– The stress on hiring functional specialists at Bigbasket Grocery has created an environment where the organization is dominated by functional specialists rather than management generalist. This has resulted into product oriented approach rather than marketing oriented approach or consumers oriented approach.
Low market penetration in new markets
– Outside its home market of Bigbasket Grocery, firm in the HBR case study Customer Analytics at Bigbasket - Product Recommendations needs to spend more promotional, marketing, and advertising efforts to penetrate international markets.
Ability to respond to the competition
– As the decision making is very deliberative, highlighted in the case study Customer Analytics at Bigbasket - Product Recommendations, in the dynamic environment Bigbasket Grocery has struggled to respond to the nimble upstart competition. Bigbasket Grocery has reasonably good record with similar level competitors but it has struggled with new entrants taking away niches of its business.
High dependence on existing supply chain
– The disruption in the global supply chains because of the Covid-19 pandemic and blockage of the Suez Canal illustrated the fragile nature of Bigbasket Grocery supply chain. Even after few cautionary changes mentioned in the HBR case study - Customer Analytics at Bigbasket - Product Recommendations, it is still heavily dependent upon the existing supply chain. The existing supply chain though brings in cost efficiencies but it has left Bigbasket Grocery vulnerable to further global disruptions in South East Asia.
Opportunities Customer Analytics at Bigbasket - Product Recommendations | External Strategic Factors
What are Opportunities in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The opportunities highlighted in the Harvard Business Review case study Customer Analytics at Bigbasket - Product Recommendations are -
Loyalty marketing
– Bigbasket Grocery has focused on building a highly responsive customer relationship management platform. This platform is built on in-house data and driven by analytics and artificial intelligence. The customer analytics can help the organization to fine tune its loyalty marketing efforts, increase the wallet share of the organization, reduce wastage on mainstream advertising spending, build better pricing strategies using personalization, etc.
Learning at scale
– Online learning technologies has now opened space for Bigbasket Grocery to conduct training and development for its employees across the world. This will result in not only reducing the cost of training but also help employees in different part of the world to integrate with the headquarter work culture, ethos, and standards.
Use of Bitcoin and other crypto currencies for transactions
– The popularity of Bitcoin and other crypto currencies as asset class and medium of transaction has opened new opportunities for Bigbasket Grocery in the consumer business. Now Bigbasket Grocery can target international markets with far fewer capital restrictions requirements than the existing system.
Buying journey improvements
– Bigbasket Grocery can improve the customer journey of consumers in the industry by using analytics and artificial intelligence. Customer Analytics at Bigbasket - Product Recommendations suggest that firm can provide automated chats to help consumers solve their own problems, provide online suggestions to get maximum out of the products and services, and help consumers to build a community where they can interact with each other to develop new features and uses.
Low interest rates
– Even though inflation is raising its head in most developed economies, Bigbasket Grocery can still utilize the low interest rates to borrow money for capital investment. Secondly it can also use the increase of government spending in infrastructure projects to get new business.
Changes in consumer behavior post Covid-19
– Consumer behavior has changed in the Sales & Marketing industry because of Covid-19 restrictions. Some of this behavior will stay once things get back to normal. Bigbasket Grocery can take advantage of these changes in consumer behavior to build a far more efficient business model. For example consumer regular ordering of products can reduce both last mile delivery costs and market penetration costs. Bigbasket Grocery can further use this consumer data to build better customer loyalty, provide better products and service collection, and improve the value proposition in inflationary times.
Finding new ways to collaborate
– Covid-19 has not only transformed business models of companies in Sales & Marketing industry, but it has also influenced the consumer preferences. Bigbasket Grocery can tie-up with other value chain partners to explore new opportunities regarding meeting customer demands and building a rewarding and engaging relationship.
Lowering marketing communication costs
– 5G expansion will open new opportunities for Bigbasket Grocery in the field of marketing communication. It will bring down the cost of doing business, provide technology platform to build new products in the Sales & Marketing segment, and it will provide faster access to the consumers.
Leveraging digital technologies
– Bigbasket Grocery can leverage digital technologies such as artificial intelligence and machine learning to automate the production process, customer analytics to get better insights into consumer behavior, realtime digital dashboards to get better sales tracking, logistics and transportation, product tracking, etc.
Increase in government spending
– As the United States and other governments are increasing social spending and infrastructure spending to build economies post Covid-19, Bigbasket Grocery can use these opportunities to build new business models that can help the communities that Bigbasket Grocery operates in. Secondly it can use opportunities from government spending in Sales & Marketing sector.
Using analytics as competitive advantage
– Bigbasket Grocery has spent a significant amount of money and effort to integrate analytics and machine learning into its operations in the sector. This continuous investment in analytics has enabled, as illustrated in the Harvard case study Customer Analytics at Bigbasket - Product Recommendations - to build a competitive advantage using analytics. The analytics driven competitive advantage can help Bigbasket Grocery to build faster Go To Market strategies, better consumer insights, developing relevant product features, and building a highly efficient supply chain.
Manufacturing automation
– Bigbasket Grocery can use the latest technology developments to improve its manufacturing and designing process in Sales & Marketing segment. It can use CAD and 3D printing to build a quick prototype and pilot testing products. It can leverage automation using machine learning and artificial intelligence to do faster production at lowers costs, and it can leverage the growth in satellite and tracking technologies to improve inventory management, transportation, and shipping.
Redefining models of collaboration and team work
– As explained in the weaknesses section, Bigbasket Grocery is facing challenges because of the dominance of functional experts in the organization. Customer Analytics at Bigbasket - Product Recommendations case study suggests that firm can utilize new technology to build more coordinated teams and streamline operations and communications using tools such as CAD, Zoom, etc.
Threats Customer Analytics at Bigbasket - Product Recommendations External Strategic Factors
What are Threats in the SWOT Analysis / TOWS Matrix / Weighted SWOT Analysis
The threats mentioned in the HBR case study Customer Analytics at Bigbasket - Product Recommendations are -
New competition
– After the dotcom bust of 2001, financial crisis of 2008-09, the business formation in US economy had declined. But in 2020 alone, there are more than 1.5 million new business applications in United States. This can lead to greater competition for Bigbasket Grocery in the Sales & Marketing sector and impact the bottomline of the organization.
Capital market disruption
– During the Covid-19, Dow Jones has touched record high. The valuations of a number of companies are way beyond their existing business model potential. This can lead to capital market correction which can put a number of suppliers, collaborators, value chain partners in great financial difficulty. It will directly impact the business of Bigbasket Grocery.
Aging population
– As the populations of most advanced economies are aging, it will lead to high social security costs, higher savings among population, and lower demand for goods and services in the economy. The household savings in US, France, UK, Germany, and Japan are growing faster than predicted because of uncertainty caused by pandemic.
Stagnating economy with rate increase
– Bigbasket Grocery can face lack of demand in the market place because of Fed actions to reduce inflation. This can lead to sluggish growth in the economy, lower demands, lower investments, higher borrowing costs, and consolidation in the field.
Learning curve for new practices
– As the technology based on artificial intelligence and machine learning platform is getting complex, as highlighted in case study Customer Analytics at Bigbasket - Product Recommendations, Bigbasket Grocery may face longer learning curve for training and development of existing employees. This can open space for more nimble competitors in the field of Sales & Marketing .
Barriers of entry lowering
– As technology is more democratized, the barriers to entry in the industry are lowering. It can presents Bigbasket Grocery with greater competitive threats in the near to medium future. Secondly it will also put downward pressure on pricing throughout the sector.
High level of anxiety and lack of motivation
– the Great Resignation in United States is the sign of broader dissatisfaction among the workforce in United States. Bigbasket Grocery needs to understand the core reasons impacting the Sales & Marketing industry. This will help it in building a better workplace.
Backlash against dominant players
– US Congress and other legislative arms of the government are getting tough on big business especially technology companies. The digital arm of Bigbasket Grocery business can come under increasing regulations regarding data privacy, data security, etc.
Environmental challenges
– Bigbasket Grocery needs to have a robust strategy against the disruptions arising from climate change and energy requirements. EU has identified it as key priority area and spending 30% of its 880 billion Euros European post Covid-19 recovery funds on green technology. Bigbasket Grocery can take advantage of this fund but it will also bring new competitors in the Sales & Marketing industry.
Technology disruption because of hacks, piracy etc
– The colonial pipeline illustrated, how vulnerable modern organization are to international hackers, miscreants, and disruptors. The cyber security interruption, data leaks, etc can seriously jeopardize the future growth of the organization.
Increasing wage structure of Bigbasket Grocery
– Post Covid-19 there is a sharp increase in the wages especially in the jobs that require interaction with people. The increasing wages can put downward pressure on the margins of Bigbasket Grocery.
Instability in the European markets
– European Union markets are facing three big challenges post Covid – expanded balance sheets, Brexit related business disruption, and aggressive Russia looking to distract the existing security mechanism. Bigbasket Grocery will face different problems in different parts of Europe. For example it will face inflationary pressures in UK, France, and Germany, balance sheet expansion and demand challenges in Southern European countries, and geopolitical instability in the Eastern Europe.
Technology acceleration in Forth Industrial Revolution
– Bigbasket Grocery has witnessed rapid integration of technology during Covid-19 in the Sales & Marketing industry. As one of the leading players in the industry, Bigbasket Grocery needs to keep up with the evolution of technology in the Sales & Marketing sector. According to Mckinsey study top managers believe that the adoption of technology in operations, communications is 20-25 times faster than what they planned in the beginning of 2019.
Weighted SWOT Analysis of Customer Analytics at Bigbasket - Product Recommendations Template, Example
Not all factors mentioned under the Strengths, Weakness, Opportunities, and Threats quadrants in the SWOT Analysis are equal. Managers in the HBR case study Customer Analytics at Bigbasket - Product Recommendations needs to zero down on the relative importance of each factor mentioned in the Strengths, Weakness, Opportunities, and Threats quadrants.
We can provide the relative importance to each factor by assigning relative weights. Weighted SWOT analysis process is a three stage process –
First stage for doing weighted SWOT analysis of the case study Customer Analytics at Bigbasket - Product Recommendations is to rank the strengths and weaknesses of the organization. This will help you to assess the most important strengths and weaknesses of the firm and which one of the strengths and weaknesses mentioned in the initial lists are marginal and can be left out.
Second stage for conducting weighted SWOT analysis of the Harvard case study Customer Analytics at Bigbasket - Product Recommendations is to give probabilities to the external strategic factors thus better understanding the opportunities and threats arising out of macro environment changes and developments.
Third stage of constructing weighted SWOT analysis of Customer Analytics at Bigbasket - Product Recommendations is to provide strategic recommendations includes – joining likelihood of external strategic factors such as opportunities and threats to the internal strategic factors – strengths and weaknesses. You should start with external factors as they will provide the direction of the overall industry. Secondly by joining probabilities with internal strategic factors can help the company not only strategic fit but also the most probably strategic trade-off that Bigbasket Grocery needs to make to build a sustainable competitive advantage.