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Read the Subscription Service Introduction
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Standard Terms &
Conditions |
Refund Policy Example of
selecting your dataset for comparison based on supply chain
and industry
After creating your dataset comparison
group your payment is processed by our
secure payment gateway facility.
Example of Subscription Main Page where
you can enter your KPI data or view results.
Example of data entry screen
Example of KPI Data Point Display (distribution) -
SAMPLE DATA
Example of Alternative KPI Data Point Display (numerical values) -
SAMPLE DATA
Example Probability of a Perfect Order - SAMPLE DATA
The probability of a perfect order takes a
cross functional look at the customer order
fulfilment process – beginning when a customer
order is taken and ending with a paid invoice.
Think about it this way; consider the customer
being positioned to the right of the graphic and
looking back into the order fulfilment process.
The customer sees the cumulative effect of the
processes that need to combine to provide the
perfect order.
The components of a perfect order follow the
customer order fulfilment process and are all
percentages of how close to perfect the
organisation is performing. The perfect order
components are;
- Customer order entry accuracy – this is
represented as a percentage of customer
orders that are recorded without error. If
there are no accuracy errors in any customer
orders then performance is 100%.
- Inventory availability - based on the
first request from the customer - not the
negotiated order. It is shown as lines
immediately available in full at time of
order as a proportion of lines ordered by
the customer.
- Warehousing performance – actual
delivery in full on time out of the
warehouse / distribution centre. Identifies
the ability of the warehouse to pick the
request for stock passed to them accurately
and on time.
- Transport on time performance - the
carrier delivery performance compared to
agreed delivery time to customer.
- Customer accepts order – takes into
account credits, damages and product
returns.
Invoice accuracy – how many invoices are
accurate in terms of quantity and pricing. The
assumption is that if the invoice is accurate
then the customer will pay it. Process stops
with customer payment.
Example of Level 1 Supply chain Metrics -
SAMPLE DATA
The Level 1 Supply Chain Metrics provides a
strategic snapshot of your supply chain
performance. It takes the data provided by you
about your supply chain and illustrates that
performance as a bar across a continuum between
disadvantage and advantage. This continuum is
created from the dataset you selected for your
benchmark comparison group..
So if your bar appears in parity this indicates
that your performance for this KPI is average
compared to the dataset you selected. To the
left are companies in disadvantage and to the
right are the best practice companies.
The Level 1 Metrics illustration assists you in
understanding your current performance and in
comparing that against best practice performance
for each KPI.
The KPIs included are;
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Actual [not promised] delivery performance
in full by line to the customer
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Actual on time delivery performance.
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These two numbers are then multiplied
together to provide your DIFOT [delivery in
full and on time] performance.
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Actual supply chain and logistics costs as a
% of gross sales – includes purchasing
administration, inventory management,
warehousing, outbound transport and customer
service.
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Cash to cash cycle days – incorporates
a. accounts payable days [days you take to pay suppliers]
b. inventory days [raw materials, work in progress and finished goods]
c. accounts receivable days [days customers take to pay you].
Cash cycle put simply is the time in days
between when I pay out money to my suppliers
to when I get money back from my customers –
it includes the working capital tied up in
the business.
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Finished goods stock turn over – how often
finished goods turn over in the business. If
inventory turns over every 30 days then
stock turns is about 12.
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