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How ScatterPie Helped an ______ FMCG Giant Improve the ____-______ decision making

Analyze Sales Volume, Sales _______, Average vendor order value, _________ turnover, Vendor Supply analysis, ___ Order accuracy to measure ___ business performance

How ScatterPie Helped an Indian FMCG Giant Improve the data-driven decision making
Industry

Manufacturing (FMCG)

Business Functions

Business Operations

Solution Delivered

Data Analytics, Dashboard Designing & Development

Technologies

Figma, Power BI

Geography

India

About The Customer

By performing FMCG analytics, __ helped the client gain _ better understanding of their _________ and markets, inventory, which ___ lead to increased sales ___ profitability. This customer is one __ the biggest players in ____ product manufacturing in India. ___ client captures business data ____ the Sales team, Vendors, _____________ units, and Supply chain __________ and wanted to implement _________ to ensure the business __________ are working efficiently and ____ the needs of the ________.

FMCG

The Major Challenge Our ______ Faced

Without Sales analytics, the customer was fac ing several challenges, including:

  • Difficulty in identifying the _____ suppliers
  • Difficulty in identifying and _________ manufacturing issues
  • Difficulty in identifying gaps __ the supply chain
  • Difficulty in making data-driven _________
  • Difficulty in accurate sales __________
  • Difficulty in streamlining the _________ turnover

The client wanted to ____ visibility into business operations, ___ manufacturing processes to make ____-______ decisions, and ultimately improve ___ overall quality of business __________ backed by data analytics.


ScatterPie’s Primary Objective f or This Project

The main objective of ___ project was to use ____ and analytics to gain __________ into all the business __________, team & machine performance, _______ the value of analytics ________, and make data-driven decisions __ improve the overall quality __ the operations.

Some specific objectives of __ FMCG analytics project include

  • Measure the lead time __ deliver
  • Track order accuracy
  • Track Inventory turnovers
  • Measure on-time delivery
  • Supply Chain Management
  • Vendor Supply analysis

 


ScatterPie’s Solution — FMCG _________

ScatterPie’s team used Power __ to connect to multiple ____ sources and prepared a ____ of extensive 20 dashboards ___ monitoring the business KPIs.
The areas covered in ___ delivered solution were as _______:

Inventory turnover

This KPI measures the ______ of times inventory is ____ and replaced over a _____ period of time. A ____ inventory turnover rate indicates ____ inventory is being efficiently _______ and that there is ______ demand for the products.

Fill rate

This KPI measures the __________ of customer orders that ___ filled on time and __ full. A high fill ____ indicates that the supply _____ is able to meet ________ demand and that there ___ no bottlenecks in the ____________ process.

On-time delivery

This KPI measures the __________ of orders that are _________ on or before the ________ delivery date. A high __-____ delivery rate indicates that ___ supply chain is able __ meet delivery commitments and ____ there are no delays __ the distribution process.

Order accuracy

This KPI measures the __________ of orders that are _________ with the correct products ___ quantities. A high order ________ rate indicates that the ______ chain is able to __________ fulfill customer orders and ____ there are no errors __ the fulfillment process.

Lead time

This KPI measures the ____ it takes to fulfill __ order from the time __ is placed. A shorter ____ time indicates that the ______ chain is able to _______ fulfil orders and that _____ are no delays in ___ production or distribution process.

 


How Our Client Benefited _______ Our Solution

ScatterPie’s solution resulted in _______ benefits as follows:

Improved customer targeting

Data analytics can help ____ companies understand customer demographics, __________ habits, and preferences, allowing ____ to target their marketing _______ more effectively.

Increased efficiency

By analysing data on ______ like inventory levels, production ________, and distribution channels, FMCG _________ can optimize their operations ___ reduce waste.

Better decision-making

Data analytics can provide ________ that can help FMCG _________ make more informed decisions _____ things like product development, _______, and distribution.

Enhanced customer experience

By analysing customer data, ____ companies can personalize their _________ efforts and tailor their ________ or services to meet ___ needs of specific customer ________.

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