This document summarizes a partnership between Conagra Brands and Infosys to implement robotic process automation (RPA). Conagra was facing challenges from labor-intensive updating of product specifications and fines for missed delivery timelines. Infosys implemented RPA bots across 10+ of Conagra's business areas, automating rule-based tasks to decrease cycle times, improve throughput, and avoid $5 million in fines while increasing revenue by $3 million per year. Moving forward, Conagra plans to further expand RPA and leverage insights from current bots to optimize processes as their automation journey continues.

1. Partner and Customer Showcase
Infosys & Conagra Brands
Rahul Sualy
Director, Global Business Services
Conagra Brands
Sanchit Mullick
AVP & Head of Sales,
AI and Automation Services
Infosys Ltd.

2. Business
Challenges
 Labor intensive process to keep the trade
specifications updated with latest product and
nutrient details
 Fines levied by wholesalers for missing delivery
timelines
 Integrating systems and processes for
Pinnacle Foods
Motivation
Mission : To provide the organization a positive impact
resulting from engaging business partners to drive operational
excellence through effective leadership, application of
continuous improvement techniques and automation tools.
 Redirect employee effort towards strategy and analytics
 Free up workforce to perform more creative, motivating and
less repetitive tasks
 Avoid fines levied by wholesalers for missing delivery
timelines. Cut out human error, inconsistencies and Duplicate
and/or incomplete work
 To increase the working capital by automating the invoice
payment with Prime Revenue

3. The Benefits RPA has Delivered
Early success has
built excitement
around RPA and has
expanded to 10+
business towers now
Decreased cycle
time and improved
throughput: Bots are
performing tasks
faster than user and
operate 24X7
50-80% of the
process automated
in certain areas
$3 M+ increase in
revenue per year
$5 M+ in fine
avoidance

4. Plans for the Future
Continue to
implement AA across
the organization’s
operations area to
automate rule based
activities and progress
the journey towards
smart automation
Upgrade to
Automation
Anywhere’s Enterprise
v11.3 to for improved
functionality
Leverage insights
from the BOTs
implemented and use
workload
management for
optimization of BOTs
Explore cognitive
services through
Automation
Anywhere’s IQ BOT

5. Lessons Learnt
Considerations and lessons learnt from our implementation
Time Commitment from Business: We
aren’t the experts, we need the business to
guide the way.
Sop’s, WebEx recording with narration,
OPL’s, etc.: These materials will drastically
speed up the documentation portion of this
process
Test data: Understand what good test data is
to test the automation, this step can be a
timely hang up when not thought about a head
of time
Access: What access and roles are needed to
perform this task?
Open to change: Willingness to “tweak” a
process can in some cases greatly increase the
automation factor
Understand business rules: Are there hard
business rules surrounding this process?
Are systems changing: Are any of the
systems the automation will be touching
changing within the year?