AIMS 360 Apparel ERP Software - Business Intelligence Makes for Intelligent Business

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AIMS 360 Apparel ERP Software offers tips about fashion business intelligence and the effectiveness of reporting.


Imagine knowing precisely which fabrics yield the largest revenue in the spring in Latin America. You would use this information wisely, wouldn’t you?

AIMS, the fashion industries’ leading apparel ERP Software Company has been offering solutions to thousands of apparel companies for the past three decades. In those many years, companies have not only been able to take orders, manage inventory, plan production, ship, etc., they have also gathered years of data which AIMS has successfully been able to allow clients to extract and analyze. In the recent months AIMS recognized the need of more sophisticated reporting by clients and has developed and introduced numerous new business intelligence tools to help clothing manufacturing companies grow to the next level.

“The days of crossing your fingers and hoping you’re making the right business decisions are long gone.” Says Shahrooz Kohan (COO of AIMS360). Today, with business intelligence tools readily available, one can run their apparel business based on hard facts and key insights that help guide critical business decision making, so decision makers can confidently travel down the most beneficial strategic paths. “Imagine knowing precisely which fabrics yield the largest revenue in the spring in Latin America. You would use this information wisely, wouldn’t you?” says “Henry Cherner (Managing Partner of AIMS).

This is the power of business intelligence. Companies have all of the hard data they need about their business and performance in order to substantiate important business decisions they are about to make. Apparel businesses will run their operations based on intelligence, rather than simple intuition. This is how companies across all industry sectors operate today, and this same technology is now available to the fashion industry. Now is the time to consider employing it.

Business intelligence is about more than just having access to good data. It’s also about having that data displayed in meaningful, visually representative ways that offer real business insight. Today’s business intelligence tools offer reporting features that bring data to life so one can identify key sales trends in business, identify hot sales areas, anticipate product shortages, or understand whether an apparel manufactures sweet spot is with specialty stores, boutiques or department stores.

Different business intelligence reports can help different areas of a business. For example, some reports detail important sales data to help focus sales efforts on the most profitable regions or types of customers. Other reports offer insight into order fulfillment so a warehouse can stock up on goods according to actual demand. Reports on different product lines help a design team create garments that are sure to sell, rather than focusing on products they only believe to be popular.

In the market today there are many business intelligence tools designed to offer this type of information, such as AIMS 360 apparel software, and others. These types of all-in-one business management solutions include substantial business intelligence functionality so one can better understand their customers’ needs and how to operate most effectively. Once a business can employ this software, they typically have access to a number of pre-defined reports, which can further customize to garner the specific information decision makers are most interested in.

At the touch of a button a company will have real intelligence at their disposal that they can use to immediately improve their business and increase customer satisfaction.
What follows is a look at some of the types of reports one can use with their new business intelligence software to uncover real business insight. These reports tend to have a multitude of built in options that allow one to uncover trends by time period, by product line, by region, by customer segment, by fabric or even style, by revenue, by source of business (which tradeshows yielded the most orders) and much more.

Order Summary Report:
An apparel business will know which advertisement they ran last month, for example, led to the most garment sales, or which of their product lines is doing the best and in what regions of the world. They will also understand which tradeshows to skip out on next year based on how little revenue they garnered from them this year.

Delivery Schedule Report:
Know far in advance if there are enough goods on hand to fulfill the orders that are on the books. This enables a business to preemptively pull out-of-stock items from their shelves or website, for example, until the business has ample inventory. This will go a long way toward avoiding unhappy customers, return orders and so on.

Order Line Item Detail Report:
Easily determine which colors are selling the best, which fabrics account for the most returns and which garment styles sell well during which times of the year. A businesses creative team will have the insight needed to design products using the colors, fabrics and styles that are most in demand.

Journal Sales Report:
Know which product lines are doing the best and the worst in which regions of the world and with which type of customer. One might learn that department stores run out of designer scarves in winter months and need to stock-up sufficiently to meet their demand. This single piece of information can mean the difference between a successful relationship and a strained one, and high sales revenue versus low sales revenue.

These are just four out of the hundreds of reports that can run using the AIMS apparel ERP software. The possibilities are truly endless.

Take the time to learn even more about how business intelligence tools like AIMS360 can help your business operate more intelligently and perform more successfully.

For more information about the AIMS apparel software, please contact info(at) or call 310-361-5710 ext. 722. You may also visit them on the Web at

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Chris Walia
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