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"Advanced functionality to manage costs, sell prices, promotions, discounts, chargebacks, and other key attributes while optimizing gross profits."
Source : epaCUBE

Resources Related to Optimizing Gross Margin over Continously Cleansed Data:

Optimizing Gross Margin over Continously Cleansed Data

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EXECUTIVE SUMMARY

Distributors have spent many years implementing both technology and business processes to reduce the cost of doing business. Great strides and advancements in “productivity” have been gained in the interest of profitability - in a time of extreme margin pressures, commoditization, and competitive forces. In fact, it has been estimated that 25% of productivity improvements during the 1990’s can be directly related to the distribution channel.

As a distributor, you know that the difference between building a thriving business -and facing extinction - is the ability to constantly monitor and reduce costs. Supply-chain professionals spend billions of dollars annually to increase productivity and reduce costs to maintain or increase the bottom line AND provide a competitive advantage.

“Pricing Management solutions are one of the most carefully guarded secrets of today’s companies. Do not wait for competitors to adopt first…In each vertical market that has implemented a pricing solution, one innovator has taken the lead and seized the competitive advantage.”

Yankee Group Report
“Why Innovative Companies are Investing in Price Optimization, Execution and Analysis Solutions”,
March 2004

While pricing is one of the more significant variables affecting a distributor’s profitability, relatively few dollars have been spent automating cost and gross margin modeling and management.

Most distributors maintain extensive pricing schemas in their operational systems and create reports to analyze events long after the facts are available; however, the ability to truly analyze and model costs, sell prices, promotions, rebates, charge backs, and other key attributes proactively – before the facts are in -- has been more elusive.

The complexity involved is often of insurmountable proportions. In addition, the volume of customer and vendor price agreements, their constantly changing nature and lack of accurate, unblemished , makes the task of modeling an almost impossible task for any distributor.

McKinsey and Company estimates that a one percent improvement in price can provide as much as an 11 percent increase in margin. One does not need an advanced degree in mathematics to understand the highly leveraged relationship between pricing and margin. However, anyone who has spent time in distribution knows “improving gross margin” is much easier said than done. Until now, tools that give the distributor a fighting chance to seriously analyze costing and pricing information to target specific opportunities for improvement have just not been available.

As distribution executives focus on revenue and profit growth, margin and price optimization software is the perfect tool to finally help get them there. The Yankee Group found that enterprise investment in PMPO (Price Management and Price Optimization) results in 10 to 20 percent profit improvements at a rate unlike any other packaged software solutions on the market. In addition, enterprises experience an improved margin contribution and revenue uplift, as well as bettermanaged market volatility and supply balance.

Millions of dollars have been spent on data management projects, with the ultimate goal of accurate and consistent product data”. Companies have found that without normalized and standardized data, many other corporate initiatives (including pricing and gross margin management) can never get off the ground.

epaCUBE was founded on the premise that “real dollars” could be reclaimed in the supply chain by starting with the very basics – making certain that every byte of product information is accurate and synchronized internally and externally – then optimizing gross margin over continuously cleansed and up-to-date product data. Gross margin optimization starts with clean product data.

THE IMPACT OF CLEAN PRODUCT DATA

Imperfect data is more than just an unnecessary tax on your business. Without clean, accurate data, other operational systems can fail and lead to dangerously costly, time-consuming or even fatal problems.

Imperfect data is more than just an unnecessary tax on your business. Without clean, accurate data, other operational systems can fail and lead to dangerously costly, time-consuming or even fatal problems.

“As companies try to publish and subscribe their product information to share with partners, they are finding that achieving a consistent and accurate view of product data inside the organization is a more strategic undertaking than originally thought.”
The Yankee Group

AMR Research summarized the “Seven Common Complaints Tied to Master Data.”

  1. ERP rollouts are delayed and production lost because new systems require more complete and consistent product data.
  2. More than 80% of support calls for supply chain planning can be traced to master data problems.
  3. Procurement of common materials can’t be managed globally because of data inconsistencies.
  4. Customer service suffers due to a fragmented view across channels and geographies.
  5. Partnerships and partner strategies suffer because companies can’t total how much they buy from or sell to partners.
  6. Synergies from mergers and acquisitions aren’t realized because data can’t be synchronized.
  7. Even after master data is cleaned up, it can decay over time as duplication and incorrect values creep in

For years, distributors have experienced the problems and consequences of “dirty product data”. Other operational applications are susceptible to costly problems when product information is missing or inaccurate. “Dirty data” affects every aspect of a distributor’s operation. Many distributors realize the full impact of “bad data” when they venture out to the web for the first time. Upon embarking on a web storefront initiative, distributors quickly realize that product content is often the “Achilles heel” -limiting the success of the project.

All aspects of product data management, including product numbers, descriptions, attributes, cost, and price, are critical to a distributor’s business. If not managed tightly and with the right tools, these variables can have a negative impact - potentially costing companies tens of thousands of dollars (and more) annually.

Distributors need “one version of the truth” when dealing with product data. While inaccurate data can adversely affect many areas, its consequences can be particularly detrimental when distributors analyze cost changes and their affect on complex customer price matrices and gross margin.

Without clean, accurate data, other operational systems can fail and lead to costly and timeconsuming problems. Examples include:

Your customer can’t find a particular product.

Often your customers or your own sales or service representatives can’t find products in the database because the description is not consistent with other like products. At best, this translates into “poor customer service.” At worst (and more likely), this can lead to lost sales and lost customers. Often the application software is deemed to be “not working” when it is really all about “bad data”.

Your customer gets the wrong price.

You invoice the customer with the wrong price because an increase or decrease was not properly brought into your ERP system. Not only does this mean poor customer service, companies also incur the cost associated with correcting the invoice. Often the cause of the problem is never fixed and the same issues repeatedly occur. Again, the result can be frustrated customers, additional costs to fix the errors, and the potential for lost sales and customers.

  • 75% of the companies surveyed reported significant problems as a result of defective data
  • 50% had incurred added costs due to the need for external or internal reconciliations
  • 33% had been forced to delay or scrap new systems
  • 33% had failed to bill or collect receivables
  • 20% had failed to meet a contractual or service level commitment

Price Waterhouse Coopers “Addressing Data Quality”, IDEA
February 8, 2006

You pay the wrong price. Cost increases and decreases are not correct in your back office system. Often your customer pricing system is based on a calculation involving costs. Margins can be misstated and additional costs are incurred to correct your system or the supplier invoices, and then reconcile financial systems. Often, margin is simply lost when the problem is not detected and solved.

Rebates are not properly collected. The full value of rebates earned may not be collected from your vendors when product attributes are wrong or missing, or when products that qualify for rebates are identified differently across multiple warehouses or branches.

Margin problems are caught “after the fact”. Distributors often suffer from 20/20 hindsight. Cost changes that affect customer pricing are not highlighted until after the product is shipped and the customer disputes the invoice.The opportunity to proactively manage your pricing is lost when the impact of cost changes is found, or not completely understood, until afterthe- fact. Right or wrong, without a “buffer zone” to analyze and manage cost changes, whatever the vendor sends you goes into production. Either the problem is found when the customer calls and complains or when gross margin losses become large enough to have their own visibility.

Duplicates in the database an operational nightmare for distributors. When distributor’s back office systems were primarily internal-facing, employees provided a buffer to the outside world for many data problems. Now, this data must be exposed to the outside world for a variety of reasons. The ability to sell products over the web has been and will continue to be a major focus for distributors. Distributors have a tremendous opportunity to decrease costs, increase efficiencies, and remain competitive through expanded use of electronic commerce (EDI, XML, private and public trading exchanges, integration to customers purchasing management systems like Ariba, SAP, etc.). These projects often fall dramatically short of their potential, or fail altogether due to lack of accurate and consistent product data.

New product introductions can be confusing without consistent delivery of information. A great deal of time and money is spent in the distribution channel either relaying information about new products or regarding changes/updates to existing products.

Shipping the wrong products because of bad data. Mismatching product data creates a trickle down effect throughout your entire buy and sell cycle. Shipping or receiving the wrong product can cost a great deal of money when you consider the time spent reconciling invoices, labor wasted in the warehouse, product delivery, and customer service costs associated with solving the problem and reconciling with the customer and/or vendor. Again, shipping errors due to bad data have the potential of creating lost sales or worse - lost customers.

Lost opportunity can often be directly related to bad data. Failed electronic communication projects (EDI, XML, etc), that are unable to take advantage of content feeds from data sources, vendors or customers - and the cost of employee time and effort spent cleaning up errors - can mean business opportunities lost to competition. Many industries have created standards to facilitate the exchange of information…as in, “How does your data quality stack up against these standards?” Without a proper “internal” process for cleansing, bad data will continue to re-surface and limit your ability to take advantage of new opportunities.

IT’S A DIRTY JOB

While product data cleansing is essential to success, it often becomes labeled a “dirty job” that is difficult to address. The idea of cleansing thousands (and often one million or more) items can be a daunting and seemingly impossible task for most companies to tackle. Cleansing projects relying on “outside sources” for content, or those simply implementing a database, have exposed the magnitude of the problem.

While these initiatives are great starts, solving your internal requirement for truly cleansed data, ready for your company’s use, is not a single leak with a quick fix. Rather, a holistic approach is required to address all aspects -including aggregating data from all potential sources (backend ERP systems, suppliers, marketing systems, 3rd party content providers and vendors) and establishing business rules to automatically and manually cleanse data. Also, distributors must address the complexities of data transformation and publication to other operational systems and trading partners.

In today’s business environment, clean and accurate data is an ongoing requirement for collaborating with all points of your supply chain. Ask yourself these questions:

  • Have you ever been involved in a VMI relationship that failed or was less profitable due to lack of synchronized product data between systems?
  • Has the launch of your website been disappointing for customers due to lack of accurate and updated product content?
  • Have EDI projects not quite gotten off the ground with trading partners because data synchronization is just too expensive to accomplish manually?
  • Have you used analytical tools and made strategic decisions based on erroneous data?
  • Are you ready for the looming RFID customer-mandated initiatives?
  • Have you acquired a company and experienced an unexpected, extremely high cost to consolidate or synchronize product data

DIRTY JOBS REQUIRE HEAVY DUTY EQUIPMENT

Today’s business environment has created a heightened awareness of the consequences and lost opportunities due to bad data. Companies have determined that “heavy-duty equipment” is required to approach the job of “continually” cleaning data. Data cleansing has moved into the realm of a strategic initiative rather than a onetime quick fix project. With both the volume of product data and its “constantly changing nature”, cleansing is an impossible task without the right tools. epaCUBE forms the “buffer zone” between your production systems and your employees, content providers, suppliers and customers. All new sources of product data are introduced first into this “buffer zone” for cleaning and quarantine BEFORE being passed on for production and analytical functions.

The epaCUBE Product Data Management Suite consumes product data (description, pricing, costing information, etc.) from a variety of sources (outside content providers, your suppliers, your ERP system, etc.) and continually cleans and prepares it for use by other systems (ERP, electronic catalog for web storefronts, other PIMs, or any other database requiring accurate product data). The epaCUBE software includes a series of powerful engines that constantly ensure product information is accurate, free of duplicates, and consistent across all other applications and databases (i.e. ERP, web storefront, etc.), which need good data to function properly.

epaCUBE's automatic data cleansing business rules system can be utilized to consistently fix data errors and prepare for publication to other operational systems. Beyond these powerful, automatic cleansing functions, epaCUBE helps establish the business processes necessary for long-term success with data cleansing. The epaCUBE system provides the capability to set up workflows to automatically route data cleansing issues and problems to the assigned user role responsible for fixing the issue. Workflow guides the users and changes the business process from a “one-time clean-up event” to establishing an ongoing process to ensure your organization is continually working on cleaning up data. The epaCUBE software suite focuses on the core issue of cleaning product data (including both pricing and costing) so other application software can actually do the job for which it was intended.

THE EPACUBE PRODUCT DATA MANAGEMENT SUITE

The epaCUBE Product Data Management suite consists of two primary components with an underlying workflow event system. The Data Cleanser function includes a powerful datamatching engine with algorithms to eliminate duplicate products from multiple sources. The Synchronizer portion of the suite publishes and synchronizes data to other operational systems, vendors, customers, or other trading partners. In addition, the Synchronizer function enables companies to evaluate changes to their product data before processing into production. It is a flexible solution that streamlines integration with internal systems, databases, and outside trading partners. Thorough online audit capabilities of all external data will help companies comply with Sarbanes-Oxley legislation in ways otherwise thought not possible.

The epaCUBE Product Data Management suite includes a “business rules and event management engine” to automatically identify and fix data problems that could negatively affect downstream operational systems or databases. Once established, these “business rules” automatically clean the data, eliminating the need to constantly re-fix the same problem each time new updates are introduced into your system. Data clean-up projects often fail when the responsibility is relegated to one or two people in your organization. Often, they don’t have the knowledge required to solve data clean-up issues. With epaCUBE, an “event management engine” is used to route issues to the appropriate end-user (pricing manager, purchasing, sales, finance, product manager, brand manager, etc.) for further data clean up. This allows the “right people”,with the “right expertise” to be involved in cleaning up product data elements relevant to their responsibility within your company.

Through an easily deployed web browser interface, end users are notified (based on job function) of data conditions requiring their intervention. End-users can easily fix these “out of bound” data errors, making the product data ready for use by other operational systems. With the epaCUBE suite, an established continuous cleansing process eliminates the problems associated with fighting bad data.

Once the epaCUBE suite is fully implemented, your company will benefit as a result of having clean data ready for publication to other operational systems.

CLEAN DATA….CHECK OUT THE BENEFITS!


Customer Service


  • Reduce the number of calls related to order or invoice discrepancies
  • Save your salespeople’s time resolving disputes or communicating basic product information to customers
  • Reduce time spent by customer service reps regarding basic product information
  • Reduce the number of web site email questions regarding product data
  • Enhance your customers’ service with timely and accurate shipments, and fewer billing errors

Finance and Accounting


  • Reduce invoice errors that result in write-offs, deductions, and lost productivity
  • Reduce number of invoices requiring adjustments
  • Reduce number of product returns due to wrong shipments
  • Reduce invoice write-offs incurred as a result of data errors
  • Reduce time spent with vendors on purchase order errors

Sales and Marketing


  • Save time spent in providing product information to customers
  • Save hours in communicating production promotions to customers
  • Increase sales based on improved relationships with your customers by providing accurate, up-todate product information
  • Improve your customer loyalty

Inventory Management and Warehousing


  • Save labor in processing incorrect shipments
  • Reduce cost due to fewer inaccuracies about product shipped
  • Reduce time spent correcting errors
  • Increase productivity of purchasing, demand planning and logistics by reducing bad data

Other Operational Benefits


  • No Duplicate Items in your Item Master
  • Consolidation of multiple Item Masters into one as you acquire other companies
  • Save time by dramatically reducing manual input of product data
  • Complete Item Data, including vendor part numbers, product attributes, and UPC’s (where available)
  • Product dimensions, weight, size, cube, etc., enabling warehouse automation
  • Proper abbreviations in Brand and Description fields
  • Accurate and up to date costing and pricing data
  • Keeping item data in sync with vendors, 3rd party content services, customers and other applications or databases within your enterprise.
  • Eliminating bad item data provided by vendors, including costs
  • Ability to evaluate the “effects of changes” before live production
  • Improved categorization of products
  • The knowledge to refuse/renegotiate inappropriate changes
  • Manage Item Data across multiple disparate systems (valuable when you acquire another company)
  • Discreet views available to validate, update, and manage specific information - by warehouse, product grouping, product line, product price type, etc.

A JOURNEY NOT A DESTINATION

With the volume of product information to consider, data problems can be overwhelming to an organization. One-time, data clean-up projects have fallen short of fixing the long-term need to continuously clean product information. Often, the real problem is ignored and left to be dealt with later - resulting in time spent fixing errors at the transaction level, frustrated customers, and lost margin.

In addition, new product data is constantly being introduced into your systems. With the epaCUBE Product Data Management suite, your organization can now easily establish automatic and event-triggered business processes to manage these data issues. No more wasted hours on onetime data clean-up projects. Dramatically reduce the costs associated with fixing errors resulting from missing or erroneous product data. Increase customer satisfaction by consistently delivering quality product information.

The epaCUBE Product Data Management suite provides the “heavy-duty equipment” necessary to ensure your company is realizing the time and cost benefits of continuously cleansing product data.

OPTIMIZING GROSS MARGIN OVER CONTINUOSLY CLEANSED DATA

Now that your product data is cleansed and synchronized using the epaCUBE Product Data Management suite, bottom-line benefits can be achieved through gross margin optimization and analysis. epaCUBE’s Margin Manager module provides users and management with tools and analytics to drive gross profit improvement.

Do you want to find answers to these questions?


  • Where am I not making appropriate margin in my price matrices and special price agreements?
  • What effect will current vendor prices changes have on my gross profit?
  • What items have not had any changes in the last year?
  • Am I really taking advantage of rebates?
  • If I make an adjustment to my pricing formulas that affect a specific matrix or group of products, what affect will that have on my overall gross profit dollars?
  • If an adjustment leads to a margin increase, what will be my sales breakeven point? (i.e., how much will my sales have to decline before the effects of the margin increase are neutralized?)

Margin Manager streamlines pricing matrix and contract management. Utilizing epaCUBE’s internal category management structures, or external structures already in use by your back office system, Margin Manager helps optimize the sell prices spanning all levels from national contracts, SPA’s, store specific prices, promotions, and rebates.

"Pricing is a more subtle game than setting list prices or even tracking invoice prices. By consciously and assiduously managing all elements of the pocket price waterfall, companies can often find and capture an additional one percent or more in their realized prices.”
The McKinsey Quarterly

epaCUBE’s Pricing Engine mimics your system’s transaction pricing system to bring together all the formulas you use. It knows what your sell price would have been to any customer in the past, what they are today, and what they will be tomorrow. Margin Manager leverages the cleansed data from epaCUBE’s Product Data Management suite to ensure information is accurate and in sync with your operational pricing system.

Margin Manager is designed to handle advertising performance and off-invoice allowances as well as 2-way and 3-way contracts. This powerful tool also enforces user-defined business rules to convert allowances from the “buy” to the “sell” side. In addition, epaCUBE’s Margin Manager provides visibility and control of manufacturer rebates and accurately tracks charge-backs and accruals across the enterprise.

Not only can the analytics provide the necessary information to analyze price and cost changes before they hit the distributor’s system, but the knowledge gained will increase the pricing skills of all involved in your organization.

With epaCUBE’s Margin Manager dashboard, users can now:

  • View detailed gross profit opportunities
  • Manage rebates, off-invoice allowances, pricing contracts, special pricing agreements
  • Model “what-if” scenarios to determine the impact of multiple cost changes to their pricing matrix
  • Conduct breakeven analyses
  • Compare Margin vs. Volume
  • Review bottom line opportunities
  • View actionable tasks to process/approve/reject
  • Realize gross profit optimization

As your company first implements the epaCUBE Margin Manager system, your entire item mix (with all cost and sell metrics that exist throughout the enterprise) is copied into one place and open for analysis. This creates a tremendous opportunity for one-time corrections that will have a long-term, positive impact on gross profit.

New vendor product data changes can be evaluated as they are continually entered into the Margin Manager system. The user has the opportunity to approve the change, place on hold for further review, or reject and renegotiate with the vendor.

FACE THE CHALLENGE AND GAIN A COMPETITIVE ADVANTAGE

The challenges and pressures in the business environment of today’s distributor are greater then ever. Competitive advantage is increasingly dependent on one of your newest and most powerful assets - Product Information. Whether you need to continuously clean incoming product data or want to better analyze your gross margin at the product level, epaCUBE offers innovative technology to help you reach your goal of increasing the competitive advantage position of your company.

For more information, please contact
Randy Hughes, VP of Sales & Marketing, epaCUBE, Inc. at
rhughes@epacube.com
or 719.930.4074.

epaCUBE Technology Center
3948 S. 3rd Street Suite 376
Jacksonville Beach, FL 32250-3056
904.246.8845

epaCUBE Corporate Offices
8352 Dallas Pkwy Suite 136-392
Dallas, TX 75287
972.931-8423

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