Analytics for Online Retail

E-commerce– Overview

E-commerce Industry – A Perspective•eCommerce is the fastest growing method of shopping•In 2017, online spending will reach $370 billion, which represents a nearly 10% compound annual growth rate from 2012•India has approximately 250 million internet users and is the 5th largest eCommerce market in the world •India has only 62% reach of e-commerce among online users. The worldwide average is around 73%.•Currently Travel portals contribute a much larger chunk of business compared to online retail, however this is set to change in the next few years•Most large eCommerce portals have started moving away from own inventory to the Marketplace model•As a priority they are focusing on growing the list of Vendors on their Marketplaces with most looking at over 100,000 resellers in their Marketplaces•In the US, Marketplaces like eBay and Amazon realizing their importance, already have extremely evolved solutions for Resellers •Soon this likely to change from growing list to retaining quality resellers

Its truly phenomenal and exciting on the potential and what we can do; and this is only

India and the US

Departments in a Company

Management

OperationsSales & Marketing Finance Supply Chain HRWarehouseVendor

Management

Current IT in a Typical E-commerce Vendor Company

Data based Transactional Systems, ERP,

HR, CRM, Portfolio,

Accounting, etc. usually in

DB

Data from Marketplaces

usually in excel sheets

Data from 3rd

Party Products like Inventory

and Warehouse

Management

Decisions based on

knowledge from

individual systems

Issues with Current Systems - Marketplaces•Different systems and each one gives different perspective• Too many data types like databases, excels, CSVs and others who do not talk to each other•No way to get unified picture from all sources•Currently it is done manually, the cost of the same is high and even then it is not accurate•The cost of even the inaccurate information is too high•It is available only on PC and not otherwise while with traveling it is hard to keep track•The information is often old and too static to be of much use

Requirement of the Management

Management only requires timely delivery of accurate information from systems with checks and balances

and deep insights which may miss the human mind to ensure enablement of growth in volume and/or profit

or minimize their loss by optimizing expenses

Business Intelligence and Analytics

The ability to pull data, organize it and use it to represent data without manual intervention for past and current analysis and ability to use the same to

predict for future

Global IT research firms say…

•BI is CIO's no 1. priority globally for two consecutive years, even in the days ofmeltdown.

•Over 60% CEO thinks that they need to do a better job of capturing and understanding information to make more efficient and timely business decisions.

•Many organizations did comparatively much better business duringslowdown and they were well equipped with Reporting, score carding, Dashboarding, forecasting, what-if modeling, interactive visualization andother analytical tools.

AdvertisingQuestions you face :•What source of my advertising is pulling in the maximum amount of traffic? •Which advertising is generating the most sales? •What ad creative is converting best?

Information possible out of this•Marketing Campaign Planning•Daily Channel-wise traffic/conversion•Channel wise Analytics•Cost to traffic to conversion analysis

Navigation

•What elements of navigation are people using the most? •What are they using the least? •What is causing visitors to go around in circles? •Are they reaching their desired page upon using the search box?

Information possible out of this•Most viewed pages•Maximum time spent pages•Maximum pages where people terminate without order•What do people take to the cart and checkout

Loyalty

•Which customers buy repeatedly? •Where did these customers come from? •How do they reach their desired products? •How many of them respond to mailers and other forms of marketing communication•How much are the returns by customersInformation possible out of this•Cohort or waterfall analysis by registered and buying customers•Customer Analysis by geographies, age, sex and promos•Repeat customer Analysis

Social (Facebook) Marketing•What sites are sending the best traffic?•What strategies are leading to the greatest SEO success?•How are my Facebook members reacting to my campaigns?•Are social sites sending traffic?

Information possible out of this•Number of visits to page on Facebook•Demographic details of members logging in•Number of likes and comments on Facebook•Facebook users Analysis

Inventory and Supply Chain

• What are my inventory levels?• What are my delivery schedules•In how man days am I delivering for different cities•What are my returns viz a viz my deliveries?

Information possible out of this•How to optimize my inventories•Reduce rejections due to better commitment levels•Improve JIT to reduce cost of money

Marketplace Resellers Analysis

• How many Resellers I have on my Marketplace?•Who are my best resellers in each category?•What are the returns by resellers?•What are the what models of inventories work the best?

Information possible out of this•How to retain top resellers•Optimize inventory models•Optimize payment schedules•Provide analytics to my resellers and improve their efficiency and through transparency

Co-relation and Forecasting•Important to deep dive into data from across apps•Which products sell in which markets•What product to bundle and sell•How to identify opportunities before others•Inventory and production

Information possible out of this•Optimize sales through data analysis across Facebook, Web Analytics and

internal data•Best selling products in a bundle•Probability to cross sell by market, gender, age, etc.•Depletion of inventory with price point optimization

List of KPIs, Reports and Analytics for MarketplacesCustomer Management•Day Wise Information At A Glance•Top Items By Value•Top Items By Quantity•Customer Count Water Fall Cohort Report

Finance Management•Revenue Water Fall Cohort Report•Profit Contribution Detail•Profit And Revenue Period Wise•Revenue Status•EIBITA by Departments and gender•EOV by Department and Gender•Gross Revenue/Net Revenue/ Operating Revenue Margins by

Department and Gender•Net Profits by Department and Gender

Sales Management•Supply Chain Funnel With Details Of Dropped Items•Telemetry Product Wise Upward Trend•Sales By Products•Telemetry Product Wise Downward Trend•Best Performing Months For Current Year•Sales Probability•Ordered Item Funnel•Channel wise Detail•Top 10 Departments Sale During Last 6 Months•Sales forecasting based on past trends•Net Conversion ratio by department and gender

Vendors•Vendor Performance over current year•Reorder quantity•Quality performance across other vendors

Miscellaneous•Quantity Wise Upward/Downward Trend•Promo Value Wise Upward/Downward Trend•Return Value Wise Upward/Downward Trend•Order Analysis•Day Wise Order Analysis At A Glance•Year To Date Order Drill Down Analysis•Customer Analysis•Sales Analysis•Year to Date Analysis•Month to Date Analysis•Real time current position Analysis•Source wise drops and success Analysis•Facebook data Analysis•Site Traffic Analysis (Web Analytics)•User Analysis by Facebook, Shopping Site and internal data for Marketing•Advanced or Predictive Analytics

Inventory And Warehouse Management•Inventory Valuation•Inventory Aging•Stock Breakup•Issued And Received Qty At A Glance•Forecasting based on past trends

Supply Chain•Dispatch Tracking•Dispatch Tracking (Detail)•Delivery Tracking (Detail)•Current Year Bucket Profit Analysis•Channel Wise Share

Dashboard

NLP Based Search

Customer wise Analysis

Sales, Returns & Inventory Analysis

Sales & Marketing KPIs

Finance KPIs

Social Media and Portal User Profile Analysis

Thank You

Umesh GuptaCEOOpen Software Technology (India) Ltd., Kautilya BIugupta@open-soft.netM: 9810009918www.kautilyabi.com; www.open-soft.net