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"100-1000-10000" Sales Plan
Sales Plan
The time limit for us to
obtain large-scale investment is usually 3 + 1 years. As the most ideal
situation, we can set the time for completing the"100-1000-10000" Sales
Plan in
four years; If we can complete the plan within four
years, our sales volume will be slightly higher than the expected value
in the previous four years. If we think our standards are set high, we
can also realize the plan in the first five years. If the
investment amount is lower, the time to complete the plan
needs to larger, for example, six years!
Defect early warning system will be the focus of our team in early
years. Before the products of the defect early warning system are
packaged, the sales team can accept the projects on "100" and "1000"
level. The final purpose of the project is to integrate our main product
defect early warning system. Therefore,
while we develop the
defect early warning system, we can parallel work on the
large-scale projects in "100" and "1000" level.
"100"
Complete 100 large-scale customization projects. As
a large-scale project, it usually needs to combine multiple defect early
warning systems, or even the contents outside the defect early warning
system. For example, for BYD's large-scale projects, even if we had a
defect early warning system before, we should integrate six sets of
defect early warning systems to meet their needs; Besides burr defect
warning, we also need to carry out knife notch warning.
"1000"
Completed 1000 consulting projects. The amount of
funds for each project is about 20000 to 3 million. For small consulting
projects, we can only introduce our solutions and provide our products,
which can be solved with our products. For large consulting projects
with a million or more, we can solve their problems by combining several
of our products like customized projects.
"10000"
Sell 10000 sets of defect early warning systems. This
is our main product, and relevant projects on hundred and thousand
levels should be completed in combination with the defect early warning
system. For most scenarios, based on our on-site consultation, we will
directly sell them a set of defect early warning system, which can solve
their defective problems after installation.
Post Note
It can be seen from the above that the business
focus of the team is to solve the problem of
defective products and use the successful defect early warning system
developed by us. This system is the focus of solving on-site quality
problems, but these are not equivalent to solving on-site quality
problems, because on-site quality problems cover a wide range, far more
than defective products.
Another problem that customers often mention is that there are several
defective products on site at the same time. There are two solutions:
one is to solve all kinds of defective products. A set of defect early
warning system is possible, but not optimal; Second, for each defective
product, we provide a set of defect early warning system, which is a
more optimized solution, but the cost is slightly higher than the above,
which is good for the enterprise. After all, our system price is only a
small part of the enterprise's defective product price in a year!
Big Difficulties in Projects
Firstly, the engineering model should be established, and the
engineering model affecting defects and defective products should be
established according to the on-site process, products, equipment and
automation conditions of the enterprise. We should have a deep
understanding of the engineering fields of technology, products,
equipment and automation.
Most of the problems of the field are comprehensive. At first
glance, there are a considerable number of problems that are difficult
to be solved directly with basic theories. For example, there may be
problems in the coordination of various fields. Machine learning based
on the existing data of the factory, such as MES data or industrial
Internet data, can fully bind the established model with the production
process, product equipment and automation of the production line, that
is, the accuracy of the model on the production line of the collected
data is very high.
Then, the system architecture of software and field engineering problems
shall be carried out. In addition to the normal software architecture of
the software, such as the design of data structure, database, class,
function, module and software interface, the relevant scenario use cases
shall be collected completely. If the current work of all field
engineers shall be compiled into intelligent software, if the collection
of these scenario use cases is not comprehensive, when encountering the
scenario use cases that have not been collected, The system does not
respond, but the automatic system cannot wait, which will cause serious
accidents! After the scene use cases are fully collected, the system
should be able to automatically form an intelligent alarm, and when the
operator takes action, the system should be able to respond in time and
take follow-up actions. In particular, the system should guide the
on-site operator how to deal with relevant problems.
Big Profits
The relevant profits can be considered from two aspects
From developer side, we can take the defect early warning
system as either a product or a project, depending on the
specific needs of the site. As a product, we install the
defect early warning system into a computer system, which can
be connected to the on-site data system through the data
network card. After giving us certain settings for the
interface of the defect early warning system, it can be used
for about an hour, We initially expect to sell a set of such
system at US$70,000, which is about 1 / 10
cost of customized development of such system.
Of course, the cost of our team is much lower than that of
other teams in the market. Because our development is
referencing large number of past projects!
From customer view, reducing defects receives great return,
usually with the profit ratio of 1000% or higher!
SERVICES
Consulting: Biz,
Defect warn,
Li-Batt,
Steel...
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Main,
Modeling...
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Training:
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Overview,
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Industry
4.0 Metaverse Company Guide
Resource,
Products,
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Equipment intelligent
Sales
plan,
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