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Many sales-intensive
businesses today face a wide variety of challenges
and fierce competitive environment. The increasingly
high cost in supply chain, lost of sales opportunities,
low margins and high volatility in businesses
demands for faster and accurate decision making.
Rigorous analysis
and informed decision is imperative, especially
in fast-moving information-driven economy,
as these will impact the customers, sales
and profit growth opportunities as well as
business operations in most industries.

Disparate legacy solutions
and IT processes provide limited visibility
into the business. In today's ultra-competitive
landscape, the need for enhanced operational
visibility and agility has emerged as a top
corporate priority for many businesses. To
maintain productivity and profitability, business
owners must leverage data and information
in order to plan and analyze operations, determine
shifting market demands, collaborate with
suppliers, and track consumer trends.
Radius - Sales
Analytics consists of a comprehensive set
of industry-specific analytic applications
designed to drive performance and support
decision making processes. It is an analytical
platform that translates data into consistent,
meaningful and actionable information that
help businesses to fully leverage their data
across the enterprise. With its industry-benchmarked
key metrics and performance indicators, it
provides business owners the control to establish
corporate growth and financial goals by ensuring
consistent adherence to objectives across
functional areas-Channel Performances, Product
Trends, Inventory Statuses and many more.

Radius - Sales Analytics
is structured around the important function
areas that play an essential role in sales-intensive
businesses. It facilitates decision makers
to consolidate enterprise-wide strategies
and allows them to suit the demand of dynamic
shifting sales-intensive industry.
- Sales Analysis - Comprehend
channel sales performance from different
dimensions
- Supplier Analysis -
Evaluate suppliers' contribution to sales,
margins and purchases and enhance relationships
based on their track records
- Product Analysis -
Helps to influence and drive product-mix
decisions, such as promotional cycles,
initial allocations, replenishment of
orders, and assortment planning by store
- Inventory Analysis
- Optimize inventory level, minimize out-of-stocks
and manage inventory costs through item
movement analysis
- Customer Analysis -
Creating cross-sell / up-sell opportunities
and develop better targeted marketing
campaign
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