On-Demand Logistics

On-demand Logistics Services Data Analytics Solution For

July 2015

Prepared By:

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Background and Objective

Industry Overview COSTARCH Approach

Case Studies and Credentials About COSTARCH

• COSTARCH can work closely with XYZ to develop and design a detailed data analytics approach tailored to XYZ situation and cover following areas.

– Understanding and evaluating the current approach. – Standardizing and centralizing the data collection

and analysis process. – Developing a detailed and customized analytical

solution. – Helping in the knowledge transfer once the in-house

data analytics capabilities are established.


• XYZ provides on-demand logistics service and is head-quartered in Chicago, US.

• The company is currently generating huge amount of data, but the company lacks analytical bandwidth.

• All the divisions at XYZ are collecting data, but it is segmented.

• There is no dedicated analytics division in the company.

• Only some basic analytics is currently used by each division to extract information from the data.

Background • The complexity and the volume of data is going to

increase considerably as the business scales. • XYZ understand the importance of mining their data. • XYZ is considering to outsource some data analytics

work. • XYZ have plans to develop in-house data analytics

capabilities.

Key Objectives

COSTARCH Response

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Industry Overview Business Model

Hyper-local commerce

model connecting

Local Retailers

Mobile Buyers

Industry Overview Business Complexity

Busin

ess

Com

plex

ities

Highly agile and responsive operations need to

service customers.

Increased Competition leading to reduced margins

Delivery time is crucial for some items.

Profit margins varies across different products.

Distributed customers

Volatile Fuel Cost

Improving Customer Loyalty and Retention

Improving Operational Efficiency

Customizing and Improving Customer Experience

Identifying and Optimizing Product Offerings

Optimizing Marketing Campaigns

Product Affinity Analysis For Targeted Marketing

How Data Analytics Can Help Primary Value Proposition

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COSTARCH Approach

Descriptive

• Collect and aggregate data that is getting generated across different channels.

• Process the data to get visibility on current business performance.

Predictive

• Use historical data from internal operations and external sources (as required) to forecast trends.

• Identify buying patterns to understand customer behavior.

Prescriptive

• Identify lead indicators and simulate future scenarios to recommend continuous improvement initiatives.

• Recommend customized offering to customers based on their tastes and buying habits.

COSTARCH Approach

Customer Analytics

Solution To Help You

Logistics Analytics


Retail Analytics


Customized Analytics Solution


Customer Analytics


Logistics Analytics


Retail Analytics


• Understand your customers relationship with your business. • Understand your customers buying habits and lifestyle preference. • Measure customer sentiments and identify emerging trends. • Target your customers with relevant offers. • Predict customers at the risk of churning out. • Engage your customers through right channel with right context and at

right time. • Maximize customer’s life time value.

• Identify problems that are hindering your delivery capability. • Understand and evaluate the vendor level and product level delays for

advance planning. • Understand the performance accuracy of your vendors. • Pre-plan your resource requirements. • Improve the efficiency of your operations. • Efficiently manage your operational capacity. • Improve customers overall experience with your services.


Customer Analytics


Logistics Analytics


Retail Analytics


• Efficiently manage the categories you are currently serving. • Evaluate the purchasing behavior of your customers. • Understand the market basket statistics and product affinity rules. • Increase complimentary product sales. • Develop optimal assortment composition to minimize lost sales. • Develop personalized experience for your customers. • Improve the effectiveness of your marketing campaigns.


Customer Analytics


Logistics Analytics


Retail Analytics


Analytics Tools & Techniques

Customer Analytics

Retail Analytics

Logistic Analytics

• Metrics Rationalization & Development

• Scorecard Design and Production

• Business Intelligence Reports

• Metrics Analysis

Analytics Tools & Techniques Metrics Rationalization & Development

Reviewing the Existing Reports, Dimensions, and Metrics in order to

• Identify key metrics that matters to the business, • Define new metrics for measuring business performance, • Develop ways to the segmented data across different

departments, and • Identify ways and methods to tap in more data.

Analytics Tools & Techniques Scorecard Design and Production

Designing Customized Scorecards to Help You in Evaluating the

• Efficiency and performance of the delivery staff, • Operational efficiency of the vendors, • Lifetime value of the customer, and • Profiling of the areas currently served by client.

Analytics Tools & Techniques Business Intelligence Reports

In-depth Intelligence Reports To Help You • Gain insights and make better business decisions, • Monitor and analyze your Key Performance Indicators

(KPI’s), • Assess market risks and opportunities, and • Measure the effectiveness of your marketing campaigns.

Customized Analytics Solution Metrics Analysis

Comparing and Evaluating the KPIs and Other Business Metrics to

• Get insights about monthly and weekly performances, • Evaluate business efficiency, • Compare operational efficiency, and • Measure the efficiency of the marketing campaigns and

other promotional initiatives.

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Case Study 1 DonorVoice (US Based Service Startup)

Objectives Activity Details

Benefits

• Extract insights from the attitudinal and transactional data of the NGO donors.

• Establish a financial value to improvements in the client level interactions.

• Developed processes to analyze the attitudinal and transactional data of the NGO donors.

• Used these processes to estimate the financial value to improvements in client level interactions.

• Analysis results highlighted those donor level interactions which required significant attention.

• Analysis results helped in reducing the marketing expenses.

Activity Details

Case Study 2 iMomentous (US Based Startup in Recruitment Space)

• Aggregated data across different platforms. • Conducted detailed analysis to identify trends

and patterns. Identified product specific KPIs. • Designed and developed business intelligence

dashboard.

• Analysis results helped client in developing material to educate HR Industry.

• Identified trends that were helpful in increasing product sales.

Objectives

Benefits

• Identify ways to improve jobseekers experience.

• Identify industries with high acceptance for the product.

• Find insights to educate the HR industry about the behavior of mobile job seekers.

Benefits

Case Study 3 PepsiCo Hong Kong LLC.

Activity Details • Developed a customized choice modelling

research design. • Designed and developed a preference share

model and calibrated it to market share data.

• Helped client in simulating and estimating the market share for their new product offering.

• The model developed by Costarch helped the client in testing and evaluating a range of scenarios, which were not possible earlier.

Objectives • Build a model to

calibrate to market share data.

• Develop ways to expand the scope of the currently used market share data.

Other Credentials Some of our Products

Social Tota

SoccerPower

ComPower

Social Tota is a social sentiment prediction engine to predict the performance of a movie. We claim it to be the first social media prediction engine.

SoccerPower is a prediction engine for the game of soccer. It predicts the outcome of soccer matches that are played in league format.

ComPower is prediction engine to predict a commodity’s price in the futures market. It generates the buy and sell signals for the commodity of interest.

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About Costarch Our Unique Value Proposition

COSTARCH Unique Value Proposition

Comprehensive understanding

Experienced Partner

Understands Startup Culture

COSTARCH has worked with startups in the past and has established a deep understanding startup culture and startup requirements.

Diverse Industry Exposure

COSTARCH has worked across diverse industries. This experience has helped in developing a comprehensive knowledge about the integration of data analytics into a business process.

COSTARCH has comprehensive understanding of different data analysis tool and techniques. We provide our clients the best advice in an independent manner that is most suitable to the business requirements.

There are lots of benefits associated with the integration of data analytics into a business process. COSTARCH will bring data expertise to successfully design and set up a customized data analytics solution as per the business requirements.

About COSTARCH How COSTARCH is most suited for this engagement

Independent thought process to ensure balance between outsourcing and in-house operations.

In-depth understanding of data analytics tools and techniques.

Cross-industry expertise to develop a customized data analytics solution having multiple perspectives.

We provide an optimal mix of knowledge and data analytics expertise that you would expect in your in-house team.

Access to low cost talent, Ability to derive economies of scale, Ability to add value through continuous improvement, process optimization and other cost reduction mechanism.

We are keen to have an opportunity to discuss the proposal with you to address any queries or provide additional information that may be required. The proposal set out in this document is in all respects subject to the negotiation, agreement and signing of a specific contract between us.

Ashish Soni [email protected] +91 895 567 8210 Founder Costarch Analytical Consulting Pvt Ltd.

www.costarch.com

The Data Science Company

COSTARCH

Thank You & Way Forward

For Further Information Please Contact

mailto:[email protected]

On-Demand Logistics

Documents

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