What We Do

  • Vendor selection
  • Vendor satisfaction
  • Micro-market supply chain mapping
  • Customer NPS diagnostic
  • Industry outlook
  • Unit economics benchmarking
  • Competitive benchmarking
  • Cluster carrying capacity
  • Go-to-market assessment
  • Market trends analysis
  • Voice of customer
  • Customer segmentation
  • Geo expansion POC
  • Acquisition profiling and screening
  • Value proposition design

Related Case Studies

Process mapping across bike-based platforms

Process mapping across bike-based platforms

Objective

  • Client was looking to understand the process flow of various bike-based platforms (bike-taxis, last mile delivery, etc) 
  • Client also wanted to understand the costs / incentives / earning models in each platform along with comparison in terms of market potential 

Methodology

  • Conducted in-depth interviews (N = 40) with bike-based operators to understand the various options and moats of bike-based gig jobs 
  • Conducted in-depth interviews (N = 5) with industry experts to understand the platform side perspective on bike-based gig jobs 
  • Mapped entire process flow for each bike-based platform in detailed steps along with positives and pain points 
  • Combed through regulatory data to understand regulatory landscape suitability for each bike-based gig job 

Impact / Outcome

  • Client clearly understood process flow for each bike-based profession along with economics and market potential 
Supply side benchmarking and evaluation of 3PL logistics partners

Supply side benchmarking and evaluation of 3PL logistics partners

Objective

  • A leading Indian logistics player wanted to develop an analytical model for partner performance evaluation and benchmarking 

Methodology

  • Gained extensive understanding of the various verticals client caters to  
  • Conducted 40 partner interviews across 5 cities to understand the nuances of last mile logistics 
  • Identified and shortlisted around 40 - 50 transactional parameters which were used to predict the behavior of the partners dealers through a dynamic excel model  
  • Composite score for each delivery partner was generated by providing weightage to each parameter and combining the relative score for each sub-parameter through classification and grading based on percentile of the partners 

Impact / Outcome

  • Client received a scoring mechanism, incorporating a dynamic excel model based on 40-50 transactional parameters, to generate partner-wise composite score
Analysing process journey for a 3PL player

Analysing process journey for a 3PL player

Objective

  • An upcoming logistics player wanted to benchmark the process journey of last mile logistics providers  

Methodology

  • Conducted in-depth consumer interviews (N = 50) in 2 weeks across 7 cities (mix of metro, tier-1) to understand purchase journey for different use-cases 
  • Conducted in-depth partner and seller interviews (N = 25) to understand supply process?  
  • Mapped complete 3PL supply process across the value to understand process dependencies and pain points  
  • Carried out benchmarking across key competitors 

Impact / Outcome

  • Client understood customer and partner journey for last mile logistics and understood the dependencies and pain points for all stages of the journey
Consumer behavior and travel characteristic study for a leading bike taxi platform

Consumer behavior and travel characteristic study for a leading bike taxi platform

Objective

  • An online bike-taxi player wanted to assess consumer need for multiple user segments 
  • Client also wanted to understand the drivers of adoptions for the brand, reasons for churn and improvement areas to re-establish engagement 

Methodology

  • Conducted a survey for 1,000+ commuters using bike-taxi services in India across Metro and Tier-1 cities  
  • Conducted 50+ in-depth interviews with churned users to understand factors of promotion / detraction and key pain points with the existing bike-taxi services 
  • Analysis of various use cases, frequency of trips taken, average distance travelled by bike-taxi for sub-segments based on geography, income groups, occupation  
  • Willingness to pay was analysed for key service parameters for different customer archetypes  

Impact / Outcome

  • Bike-taxi users segmented into archetypes and drivers / barriers of adoption 
  • Key identifiers of churn and initiatives that could re-establish engagement were also identified
Customer NPS diagnostic of a cab aggregator

Customer NPS diagnostic of a cab aggregator

Objective

  • A pan-India cab aggregator wanted to assess consumer NPS, drivers and barriers of adoption 

Methodology

  • Conducted consumer survey (N = 800) and in-depth consumer interviews (N = 20) in 4 weeks across 16 cities (mix of metro, tier 1 & 2 cities) for different customer archetypes (based on household types, age groups, employment status and gender) 
  • Mapped customer journeys for offline and online booking of rides across various type of cab services through customer interviews (N = 10) and mystery shopping?  
  • Conducted partner interviews (N = 30) of cab drivers across cities  
  • Carried out price and service benchmarking for key players (online aggregators, traditional cabs, local cabs) 

Impact / Outcome

  • Client understood relative NPS for self and competition brands, key strengths and improvement areas 
Preference and adoption of digital app for public transportation

Preference and adoption of digital app for public transportation

Objective

  • A leading public transportation tracking company wanted to understand the level of adoption of consumers with respect to digital usage for bus commute
  • Further, the client wanted to understand willingness of commuters to adopt an innovative transportation app

Methodology

  
  • Conducted customer survey (N = 700) in 3.5 weeks across 10 cities (mix of metro and tier 1 & 2 cities) for different customer archetypes across geographies, age-groups, income, and employment categories 
  • Mapped typical consumer commute journey to identify existing digital touch points and pain points with traditional means 
  • Conducted in-depth service provider interviews (N = 15) to understand the key drivers of digital adoption and benefits of partnering with such an app 
  • Deep-dived into product and performance benchmarking of key players to identify level of digitization and functionality 

Impact / Outcome

  • Client gained detailed insights on adoption of transportation apps across customer archetypes 
  • Client appreciated the detailed analysis on extent of digitization across transportation modes 
  • Client also understood key strengths and needs for daily commute transportation app along with customer’s willingness to adopt

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