SUPPLY CHAIN MANAGEMENT

COSTS PER $1K REVENUE

TOP

PERFORMERS:

$26.31

ATTAIN

PEAK PERFORMANCE

WITH SUPPLY CHAIN PLANNING

How a cloud-based supply chain planning solution

can keep your organization competitive

End-to-end supply chain planning is an integral and critical part

of an organization’s ability to remain competitive in the modern business world.

Sales and

operations

planning activities

Managing

demand for products

and services

Creating a

material

requirements plan

Power top performance by integrating cloud-based ERP with

your supply chain planning solution

Learn more about optimizing

your supply chain planning

here.

SOURCES:

APQC

“Key Supply Chain Planning Benchmarks at a Glance” (2017)

“Supply Chain Planning Tune-up Diagnostic” (2017) | Supply Chain Planning Webinar (2017)

The use and accessibility of data separates

laggards from leaders

BOTTOM PERFORMERS

Lowest level

of data maturity

TOP PERFORMERS

Highest level of data maturity

With a high level of data maturity in supply chain

planning, an organization rotates inventory faster

and maintains a leaner inventory in the supply

chain for greater profitability.

Median sales outstanding: 36 days

Planning with desired customer service levels

and executing with real-time inventory insight

help organizations respond quickly to shifts

in demand.

Proactive supply chain planning streamlines the

operations, decreasing waste and requiring less

time and fewer personnel to maintain.

An integrated demand forecasting system

and scenario modeling compels your customers

to keep coming back for that dependability.

INCREASE AGILITY AND EFFICIENCY

CUT COSTS

AVERAGE PERFECT

ORDER PERFORMANCE

RETAIN CUSTOMERS

STAY COMPETITIVE

Scheduling

inventory to meet

actual demand

TOP PERFORMERS

CASH-TO-CASH CYCLE

30

DAYS

BOTTOM PERFORMERS

80

DAYS

VS

BOTTOM

PERFORMERS

77.9%

TOP

PERFORMERS

90%

BOTTOM

PERFORMERS:

$107.09

$

$

$

$

$

88.4%

61.4%

CUSTOMER RETENTION RATE

TOP PERFORMERS

BOTTOM PERFORMERS

Limited or no regular

access to data beyond

basic transactions

Data stored in

spreadsheets or system

extracts

Decision-making based

on instinct or anecdote

rather than data analysis

Real-time

integration

On-demand access,

manipulation and data

visualization

Organizational

culture of data-driven

decision-making

DEMAND

SUPPLY

CONSISTENCY