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6:13 ao PM
a'2S2M9
Center RM validation E2E TAT

Driving business outcomes through continuous investments on analytical assets and transformation projects

Real time dashboards:  Visualizations offer a combination of historic data and real-time information Provides insights on emerging trends and helps us manage the diverse data effectively. Enabling prompt decision making Dashboards are automatically updated and provide the user with instant access to critical data. Tracks the data that is important to user from various sources and presents that information in an easy-to-understand dashboard  Interactive data visualizations: To analyze, track and report on the business data real time / near real time Governance Review  (SLA + E-E metrics) through Advanced Power BI  Dashboard All dashboards are developed Inhouse by our Advanced Power BI certified skilled resources, no added cost

Intuitive Visual Tool: Improved decision support  through ( Proactive)  meaningful insights

Improved Collaboration  and  Customer Satisfaction

Multiple Views Available  Depending on User Role, Functions and Needs

Online Live Data: Sharing On The Go  as a Continuous process with latest data

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Journey OF Customer experience IMPROVEMENT

VBT 2.0  Updation Chat Audits Chat Refresher Training for P2P Upstream process Improvements to reduce volume Modern invoice implementation MPC tool enhancements Implementation of WHT tool vNext  Chat and BOT

AP QA Team  & framework implemented Smart allocation /Prioritization  of tickets        via  1Q tool Re-validate PKT / FMEA/ DTP  to cover all exceptions Smart comm & ‘what next’ checklist Skill Gap analysis  and Training need identification Customer experience  trainings initiated Customer Experience  Awards  instituted L1 & L2 teams formed

Restructure  Process Knowledge tests  to cover all exceptions Process Trainings  based on Skill gaps Role Plays  on floor WOW Customer Experience Awards  launched and completed New Org  Introduced ( FO BO Model ) Strengthened  New Joiner Onboarding Process Comms Training  batch commenced Pyramid re-levelling Continued reinforcement of customer service mindset Dedicated  Chat Team  formed Scenario based Job Aids  created and teams trained

Process maturity model assessment Adopt leading practices  and process fix. CX Training –  100% completed  for PTP Front-office and Back-office. Continued reinforcement of customer service mindset Skit/Role Plays on floor continued FTR customer experience contest  launched  Digital Dash Boards  for all towers Strengthened  Hiring Process  by implementing online  REP Evaluation online test Design thinking workshop  conducted for P2P to focus on Customer experience Leads Training  – 1 Batch completed successfully, 2nd batch in progress SRT Search tool implemented  Collaborative CRM workshop  conducted - generated 88 ideas from Accenture

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BUSINESS PROBLEM On an average,90000 T&E Claims processed per month. Significant audit effort is spent on auditing Time & Expense claims.  which also leads to false positive claims Unknown non-compliant claims not caught by traditional rules Streamlining of travel booking and expense claims process

SOLUTION Predictive   scoring engine  solution which  scores each claim and provide a  highly predictive  score  for identifying noncompliance and waste & abuse Create an embedded  predictive   analytics  solution (integrated with T&E tools) which can help clients in  real/near real time prediction along with  prescriptive  actions

Predict non-compliance for every T&E claim to minimize leakage and significantly reduce audit effort

Covers  100%  T&E claims <0.1 sec  average time to score an expense 50%+  audit precision without compromising on quality (beat client expectation) 25%+  FTE reduction (better than client expectation)

Before T&E Intelligent (2017) January February March April May June July August September October November December 2553 2157 2685 2438 2867 4054 4803 3125 3184 4901 3855 4560 Post T&E Intelligent (2019) January February March April May June July August September October November December 992 1398 1748 1700 1785 1968 1949 2242 1849 1919 1968 2460

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CRM Help Desk – Ticket Handling Invoice Payment Status Expense Payment Status Invoice Status PO Status update PO Cost Center Update PO Invoice Approver Change  Close PO / Close Single line Change Cost Center Code Price decrease Quantity decrease 1600  QnA  pairs across 20 categories  60+ Languages supported Bing Translate API ConnectMe  technology (existing)  Tickets Portal (existing)  1 2 3 4 5

BC CRM Volume FY19 P01 FY19 P02 FY19 P03 FY19 P04 FY19 P05 FY19 P06 FY19 P07 FY19 P08 FY19 P09 FY19 P10 FY19 P11 FY19 P12 FY20 P01 FY20 P02 FY20 P03 FY20 P04 FY20 P05 FY20 P06 FY20 P07 FY20 P08 FY20 P09 FY20 P10 5774 6169 5529 5298 4968 5205 4848 4841 5795 4785 4702 6314 5218 4588 4048 2923 2807 2934 2251 2609 3620 3164

Before implementation (Chat Bot) -  5205 Avg. vol

After implementation (Chat Bot) -  2901 Avg. vol

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R based analytics engine for predicting performance Real time Power BI dashboard

Predictive model for PWT%:  Weekly forecasting of PWT% is done with R based predictive analytics engine and Power BI for front end visualization. RAG status are added to gain immediate attention of the process manager. Integration of INPRO model:  The INPRO model (currently in excel) would be integrated with Predictive dashboard, to give accurate view as to what group of invoices need immediate attention and what would be their impact on the PWT%, if not actioned.

:PWT Forecast Dashboard
'iscalYearDescr@..
2020
Actuals MTD
97.02%
ForetastMTD
9452%
MPE
1.68%
Target
Period
2019
Fiscal Week Actuals(PWT)
9647%
Forecast
August 2019 FW 09

Database storing actual and predicted performance

PREDICTIVE ANALYTICS – PAID WITHIN TIME%

% Payment on Time FY18 Q3 FY18 Q4 FY19 Q1 FY19 Q2 FY19 Q3 FY19 Q4 FY20 Q1 FY20 Q2 0.92 0.94 0.94 0.94 0.94 0.95 0.95 0.93 HQ FY18 Q3 FY18 Q4 FY19 Q1 FY19 Q2 FY19 Q3 FY19 Q4 FY20 Q1 FY20 Q2 0.88 0.88 0.88 0.88 0.88 0.88 0.88 0.88

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Objective: To improve the BOI - Payment within term

Manual email notification were sent by AP agents to the invoice approvers seeking approval Agents had to pull data manually with the invoices that are due for payment  Manual follow ups must be done in a timely manner to ensure payment within terms

Eliminates manual data extraction and logic measurement through RPA, SSIS, SQL &  .Net Automated emails being triggered at  regular intervals  for  invoices that are due for payment  Built Auto Bots to eliminate manual follow ups Smart email alerts and pings based triggered dynamically based on region’s business requirement

Timely email alerts to the approvers to follow up invoices that are due Smart Bot pings seeking approval of invoices Follow up done based on real time data

Significant improvement in TAT  Improvement in payment within terms

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Improvement in GLOBAL Discounts capture %

Automated  Skype  Notification Skype notification implemented for sending reminders to approvers for timely approvals  1 st   reminder sent on 9th day from the invoice creation date 2 nd  reminder sent on 10th day from the invoice creation date Ops team coordinate with tech team to ensure reminder notification sent on time    Digitization  Skype is integrated  with SAP report – Parked Invoice Simplification Enhanced  Reporting &  Email alerts Robust Governance process implemented to track and ensure discount capture Regular report sent to approvers on pending items Automated process for sending reminder emails - 1st reminder (3rd day ), 2nd reminder (6 th  day) and 3 rd  reminder (10 th  day) from creation date Escalation Matrix Implemented - Approver’s manager are copied 2nd and 3rd reminder  3 reminder Alerts sent Adhoc payment Run Review the invoices due for payment ,fall outs (due to exceptions) are identified and processed for payment  Adhoc payment run executed on need basis to ensure on time payment  On Need  Basis Increase #  of Vendor    Analysis and inclusion of more vendors / invoices into Discount program All IT vendors added to the discount program   Analysis and inclusion of more vendors

Opportunity Statement To avail the discount (2% to 5%), the invoice had to be approved and paid within discount payment terms. The client’s target for the new fiscal was to improve their discount capture rate  to 97% percent to create additional savings

Increase in Global  discount capture % from  87% to 99%

$750 Mn    till FY20 Cum. Discount Captured

Replicating the Discount Capture for International as Phase 2

% Discount Capture US FY18 Q3 FY18 Q4 FY19 Q1 FY19 Q2 FY19 Q3 FY19 Q4 FY20 Q1 FY20 Q2 0.96 0.98 0.97 0.97 0.98 0.99 0.99 1 HQ FY18 Q3 FY18 Q4 FY19 Q1 FY19 Q2 FY19 Q3 FY19 Q4 FY20 Q1 FY20 Q2 0.91 0.91 0.91 0.91 0.91 0.91 0.91 0.91

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Capacity for next week is planned using the forecasting model Touch Per Hour (TPH) sub function wise made available Forecasted and capacity required is calculated for all sub functions

CRM server Forecasting Real time dashboard Design

Phase 2 (In Progress) Developing an optimal staffing patterns (Shift / hourly flows / capacity required)

Month
August v
OFTER.equired 'Forecast
12
10
August 19
Touched of Tickets Sub Name - Actual vs
Touched Tickets - Actual vs Forecast
Sub Function
QM -Europe v
Week
Week>3 Aug.„ v
August 20
Date
4/1/2019 9/30/2019
Actual Volume
3,492
Forecast Volume
3,157
128
August 22
Forecast FTE
12.14
581
August 23
TPH
6.50
Forecasted Volume and FTE Vs Actual Volume
August 21
700
500
100

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A close up of a logo

Description generated with very high confidence

Processing ticket based on prioritization model

Team leads extract the report from CRM, categorize tickets manually based on different category and allocate to agents on daily basis  Effort required for sorting and allocating consumes more time  Building a  predictive model   to prioritize tickets based on SLA’s and identify high risk tickets (VIP) for “Reducing the escalation” by prioritizing and allocating tickets  This led to: Improving  “ Voice of customer ” Reduce escalation  from client and supplier  Improving the tickets Re-open%  by providing end to end resolution  Focusing on FTR  to reduce the effort spent  on multiple touches

Analytics and Insights

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