Bengaluru,
September 12, 2023.
IBM (NYSE: IBM) today announced the expansion of its collaboration with Parle
Products, the largest selling biscuit brand in India, to further the company’s
digital transformation journey. By deploying cloud and AI for business
solutions through the course of engagement, Parle was able to reduce sourcing
cost, enhance sales forecast accuracy, lower cost to serve and optimize overall
IT infrastructure.
Prior to
embarking on the transformation journey, Parle was dealing with complexities in
their intricate supply and distribution network because of non-differentiated
strategies across products as well as channel and fulfilment approaches. This
resulted in service level constraints and higher cost to serve. Since its
association with IBM in 2014, Parle has been able to bring operational
efficiencies by leveraging the cloud and AI capabilitiesof IBM Consulting.
In the latest
phase of the engagement, IBM Consulting is also collaborating with Microsoft to
implement the Azure Databricks Lakehouse, AI engine for Auto Replenishment and
SAP Ariba solutions at Parle. By helping Parle better leverage Azure platform
for data insights, IBM Consulting is helping the company realise even greater
operational resilience, agility, and scalability.
Sanjay Joshi,
CIO, Parle Products said, "Parle’s nearly decade-long collaboration with
IBM, leveraging both its technology expertise and consulting capabilities, has
been paved with multiple milestones, all of which has helped us achieve our
digital transformation vision. Our joint efforts to not only implement newer
SAP solutions but migrate the entirety of existing SAP and non-SAP workloads to
the cloud has driven many crucial KPI’s
and enhanced overall efficiency. The similar collaboration on deploying
Microsoft Azure Databricks Lakehouse platform will definitely provide our
business functions with data driven insights and help them take critical
decisions. With IBM Consulting, we are poised to unlock newer avenues of growth
and remain at the forefront of industry evolution."
Kamal Singhani, Country Managing Partner, IBM Consulting – India/South
Asia said, “Today, leveraging exponential technologies
like cloud and AI are fundamental to every company’s competitiveness by
transforming the way that they meet customer demands and operate their
businesses. Our long-standing
collaboration with Parle has reached another milestone where a fundamental
shift is being brought to the core strategic units of the organization.
Collectively, this is resulting in improvedoperations and increased revenue,
helping them better serve customers.”
Across the various phases of the
engagement, Parle also
leveraged IBM’s leading security and industry expertise to drive growth. The
enterprise-wide transformation is revamping the operations at Parle to
encompass a spectrum of business functions including:
·
Procurement Transformation: IBM’s“Full
Cycle Procurement” solution helped Parleunderstand the current state of the
procurement function and identity value drivers. Each phase of procurement – sourcing,
purchasing, category management and payment - were closely observed to develop
the procurement transformation strategy and optimise KPIs. This resulted in
significant operational improvements such as increased revenue growth and cost
optimisation, like 80% reduction in time to quote to compare, 80% automation in
operational procurement and 2-5% savings across key categories.
·
Supply Chain Evolution: Collaborating
with Parle's teams, IBM implemented a robust SAP-based backbone - SAP Advanced
Planning and Optimization (APO) - to harmonise processes. This helped reduce
overall stockout instances while optimising the logistics cost to serve. This
resulted in improvement of forecast accuracy by 10% and reduction in weighted
average distance by 10%, making availability of products to customers much
faster.
·
HR Transformation: The key focus for Parle was to design and drive employee
performance KPIs.The implementation of SAP SuccessFactors Performance &
Goal management along with Employee Central helped effectively map the end-to-end
performance management process. These efforts helped align employee performance
KPIs with company objectives, leading to faster appraisal cycles and
transparent performance assessment.