Smart Software and Arizona Public Service to Present at WERC 2022

Smart Software CEO and APS Inventory & Logistics Manager to present WERC 2022 Studio Session on implementing Smart IP&O in 90 Days and achieving significant savings by optimizing reorder points and order quantities for over 250,000 spare parts.

Belmont, MA, March 2022 – Smart Software, Inc., provider of industry-leading demand forecasting, planning, and inventory optimization solutions, today announced that it will present at WERC 2022.

Justin Danielson, Inventory & Logistics Manager at Arizona Public Service (APS), and Greg Hartunian, CEO at Smart Software, will lead a 30-minute studio session at WERC 2022. The presentation will focus on how APS implemented Smart Inventory Planning and Optimization (Smart IP&O) as part of the company’s strategic supply chain optimization initiative. Smart IP&O was implemented in just 90 days, enabling APS to optimize its reorder points and order quantities for over 250,000 spare parts. During the first phase of the implementation, the platform helped APS reduce inventory and achieve significant savings while maintaining service levels. Finally, the session will conclude by showing Smart IP&O in a Live Demo.

 

Warehousing Education and Research Council (WERC)

WERC is a professional organization focused on logistics management and its role in the supply chain. Since being founded in 1977, WERC has maintained a strategic vision to continuously offer resources that help distribution practitioners and suppliers stay on top in our dynamic, variable field. In an increasingly complex world, distribution logistics professionals make sense of things so that people get their products and services, companies deliver on their commitments, economies grow, and communities thrive.

WERC powers distribution logistics professionals to do their jobs, excel in their careers and make a difference in the world. WERC helps its members and companies succeed by creating unparalleled learning experiences, offering quality networking opportunities, and accessing research-driven industry information.

 

About Smart Software, Inc.
Founded in 1981, Smart Software, Inc. is a leader in providing businesses with enterprise-wide demand forecasting, planning and inventory optimization solutions.  Smart Software’s demand forecasting and inventory optimization solutions have helped thousands of users worldwide, including customers at mid-market enterprises and Fortune 500 companies, such as Otis Elevator, Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot.  Smart Inventory Planning & Optimization gives demand planners the tools to handle sales seasonality, promotions, new and aging products, multi-dimensional hierarchies, and intermittently demanded service parts and capital goods items.  It also provides inventory managers with accurate estimates of the optimal inventory and safety stock required to meet future orders and achieve desired service levels.  Smart Software is headquartered in Belmont,

 


For more information, please contact Smart Software, Inc., Four Hill Road, Belmont, MA 02478.
Phone: 1-800-SMART-99 (800-762-7899); FAX: 1-617-489-2748; E-mail: info@smartcorp.com

 

 

Smart Software to Preview New Gen2 Forecasting Models at Microsoft Community Summit 2021

Belmont, MA, September 2021 – Smart Software, Inc., provider of industry-leading demand forecasting, planning, and inventory optimization solutions, today announced that will participate at the Microsoft Community Summit North America 2021 and preview it’s soon to be released Gen2 forecasting algorithms.

One of the most significant challenges executives now face is the increasing pace of business. In the past, forecasting processes typically ran at quarterly or monthly tempo.  Smart’s Gen2 methods harness daily transactions from Microsoft 365 ERP systems and represents a giant leap forward compared to traditional inventory planning and forecasting methods. Gen2 applies patent-pending probabilistic forecasting and machine learning methods expanding on Smart’s field-proven Gen1 modeling that has been so impactful for so many companies.

Most inventory planning teams rely upon traditional forecasting approaches, rule of thumb methods, and sales feedback to determine stocking policies and demand forecasts. Come by booth #1820 to learn about these approaches, why they often fail, and how the new Gen2 probabilistic forecasting and optimization methods can make a big difference to your bottom line. Whether you are a seasoned Microsoft user looking for new ways to optimize your supply chain, or are new to Dynamics Applications and want to understand how a planning platform can help drive revenue increases and inventory reductions, please stop by.

 

About Smart Software, Inc.
Founded in 1981, Smart Software, Inc. is a leader in providing businesses with enterprise-wide demand forecasting, planning and inventory optimization solutions.  Smart Software’s demand forecasting and inventory optimization solutions have helped thousands of users worldwide, including customers at mid-market enterprises and Fortune 500 companies, such as Otis Elevator, Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot.  Smart Inventory Planning & Optimization gives demand planners the tools to handle sales seasonality, promotions, new and aging products, multi-dimensional hierarchies, and intermittently demanded service parts and capital goods items.  It also provides inventory managers with accurate estimates of the optimal inventory and safety stock required to meet future orders and achieve desired service levels.  Smart Software is headquartered in Belmont, Massachusetts and can be found on the World Wide Web at www.smartcorp.com.

Community Summit 2021 Smart Software Inventory planning


For more information, please contact Smart Software, Inc., Four Hill Road, Belmont, MA 02478.
Phone: 1-800-SMART-99 (800-762-7899); FAX: 1-617-489-2748; E-mail: info@smartcorp.com

 

 

Smart Software to Present at Epicor Insights 2021

Smart Software President and CEO to present Epicor Insights 2021 Breakout Session on Creating Competitive Advantage with Smart Inventory Planning and Optimization

 

Belmont, MA, June, 2021 – Smart Software, Inc., provider of industry-leading demand forecasting, planning, and inventory optimization solutions, today announced that it will present at Epicor Insights 2021.

Greg Hartunian, CEO of Smart Software, will present “Creating Competitive Advantage with Smart Inventory Planning and Optimization.” Greg will explain how to empower planning teams to reduce inventory, improve service levels, and increase operational efficiency. Most inventory planning teams rely upon traditional forecasting approaches, rule of thumb methods, and sales feedback on demand. Our Breakout Session at Epicor Insights discusses these approaches, why they often fail, and how new probabilistic forecasting and optimization methods can make a big difference to your bottom line.

  • The presentation is scheduled for Wed July 14th 10:25 -11:15 AM  (PST) 

1 Epicor Inventory Mangement Platinum Partner

Epicor Insights 2021 will bring together more than 2,000 users of Epicor’s industry-specific ERP solutions for the manufacturing, distribution, and service industries.  To learn more, visit INSIGHTS 2021.

 Join us at Mandalay Bay in Las Vegas, at the Solution Pavilion,  Booth #1.

3 Epicor Inventory Mangement Platinum Partner

 

2 Epicor Inventory Mangement Platinum Partner

 

Smart Software is an Epicor Platinum Partner and leading provider of demand planning, forecasting, inventory optimization, and analytics solutions. Our web platform, Smart IP&O, leverages probabilistic forecast modeling, machine learning, and collaborative demand planning to optimize inventory levels and increase forecast accuracy. You’ll use Smart IP&O to create accurate forecasts and optimal stocking policies that drive automated ordering in Epicor. The platform includes bi-directional integrations to both Epicor ERP and Prophet 21.

 

 

About Smart Software, Inc.
Founded in 1981, Smart Software, Inc. is a leader in providing businesses with enterprise-wide demand forecasting, planning and inventory optimization solutions.  Smart Software’s demand forecasting and inventory optimization solutions have helped thousands of users worldwide, including customers at mid-market enterprises and Fortune 500 companies, such as Otis Elevator, Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot.  Smart Inventory Planning & Optimization gives demand planners the tools to handle sales seasonality, promotions, new and aging products, multi-dimensional hierarchies, and intermittently demanded service parts and capital goods items.  It also provides inventory managers with accurate estimates of the optimal inventory and safety stock required to meet future orders and achieve desired service levels.  Smart Software is headquartered in Belmont, Massachusetts and can be found on the World Wide Web at www.smartcorp.com.

 


For more information, please contact Smart Software, Inc., Four Hill Road, Belmont, MA 02478.
Phone: 1-800-SMART-99 (800-762-7899); FAX: 1-617-489-2748; E-mail: info@smartcorp.com

 

 

Smart Software has been named an Epicor platinum partner, the highest designation in the ISV Partner Program

Smart Software named an Epicor platinum partner, the highest designation in the ISV Partner Program

Belmont, Mass., January  2020 –  Smart Software is pleased to announce that it has been named an Epicor platinum partner as a leading provider of demand planning and inventory optimization solutions.  Epicor ERP customers leverage Smart’s web native platform for Inventory Planning and Optimization (Smart IP&O) to develop consensus forecasts, manage demand, and optimize stocking policies.

“Smart Software helps Epicor ERP customers by delivering business analytics for inventory modeling and forecasting. Having too much or not enough inventory are costly problems that typically require a great deal of manual planning and costs. Using Smart IP&O, our customers are able to automate manual planning processes, forecast demand more accurately, and shape inventory strategy to align with the business objectives.” notes Jennifer Schulze, VP Product Marketing, Epicor

Smart Software’s certified bi-directional integration to Epicor ERP makes all transactional data in Epicor such as shipments, sales orders, supplier receipts, inventory on hand, and more, available in Smart IP&O’s data model for analysis.  Smart IP&O leverages field-proven analytics, probabilistic modeling, and the latest advancements in  forecasting technology to predict future demand, prescribe optimal stocking policies, and identify opportunities for operational improvement.  Users can transfer forecast results, order quantities, and stocking policies to Epicor ERP in a few mouse-clicks.

Greg Hartunian, CEO of Smart Software stated “In today’s supply chain, traditional forecast modeling, rule of thumb inventory planning approaches, and Excel spreadsheets just don’t cut it anymore.  It’s no longer enough to simply manage your inventory.  Customers leveraging Smart IP&O are better able to effectively  wield inventory assets, improve their operations, lower costs, improve customer service, and outperform the competition. We look forward to continuing to work closely with Epicor to help our joint customers achieve these key benefits.”

Epicor-Alliance-ISV-Partner-Platinum-RGB-Logo-0518

About Smart Software, Inc.
Founded in 1981, Smart Software, Inc. is a leader in providing businesses with enterprise-wide demand forecasting, planning and inventory optimization solutions.  Smart Software’s demand forecasting and inventory optimization solutions have helped thousands of users worldwide, including customers at mid-market enterprises and Fortune 500 companies, such as Otis Elevator, Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot.  Smart Inventory Planning & Optimization gives demand planners the tools to handle sales seasonality, promotions, new and aging products, multi-dimensional hierarchies, and intermittently demanded service parts and capital goods items.  It also provides inventory managers with accurate estimates of the optimal inventory and safety stock required to meet future orders and achieve desired service levels.  Smart Software is headquartered in Belmont, Massachusetts and can be found on the World Wide Web at www.smartcorp.com.


For more information, please contact Smart Software, Inc., Four Hill Road, Belmont, MA 02478.
Phone: 1-800-SMART-99 (800-762-7899); FAX: 1-617-489-2748; E-mail: info@smartcorp.com

 

 

 

Ten Tips that Avoid Data Problems in Software Implementation

The Smart Forecaster

 Pursuing best practices in demand planning,

forecasting and inventory optimization

We work with many customers in many industries to connect our advanced analytical, forecasting, and inventory planning software to their ERP systems. Despite the variety of situations we encounter, some data-related problems tend to crop up over and over. This blog lists ten tips that can help you avoid these common problems.

 

Once a customer is ready to implement software for demand planning and/or inventory optimization, they need to connect the analytics software to their corporate data stream. In our case, we mainline transaction data directly into the analytical software. This provides information on item demand and supplier lead times, among other things. We extract the rest of the data from the ERP system itself, which provides metadata such as each item’s location, unit cost, and product group.

 

These tips are important because it is not uncommon for implementation projects to start with great enthusiasm but then quickly bog down because of problems with the data that fuel for analytics. These delays can reduce team enthusiasm, embarrass project leaders, and delay (and thereby reduce) the ROI payoff that ultimately justified the implementation project in the first place.

demand planning data stream.

The importance of connecting the analytics software to the corporate data stream

Here is the list of tips, grouped by the general themes of handling files safely, insuring data integrity, and dealing with exceptions.

 

Handling Files Safely

 

  1. Have a test environment to use as a “sandbox.” Copy your current data to a test environment where you can safely experiment with the software without risking current operations. Besides helping users learn the ins-and-outs of the new software, having the latest data in the software allows end users to discover any problems with the data.

 

  1. Protect your data extraction rules. If you aren’t utilizing a pre-built connector to your ERP system then you to need to ensure that you can create savable extract rules to move data from your ERP to a file.  Column orders, data types, date formats, etc. should not vary each time the same extract is re-executed.  Otherwise the project gets bogged down in manual errors or confusion in re-extracts after fixes to the data or when new data roll in. All data extraction rules should be saved and available to IT – we’ve encountered situations where files extracted were done so in ad hoc manner resulting in a slightly different formats with each new extract.  We’ve also seen customers work hard to develop a complex and accurate data extraction routine only to find all their work was lost when it was not properly archived.  Both situations led to confusion and project delays.

 

  1. Don’t use Excel native file formats for data transfers. If your planning solution doesn’t have a direct integration to your ERP system, then export ERP data to a flat file format, such as comma delimited (.csv) or tab delimited text files.  Don’t use MS Excel formats such as .xls or .xlsx as the export file type because Excel auto-reformats field values in unexpected ways. Many users assume they need to use .xlsx files if they want to manually review them, not realizing that .csv or .txt files can be opened just as easily and don’t carry the risk of auto-reformats.

 

Insuring Data Integrity

Data Problems and solutions in Software Implementation

Data Problems and solutions in Software Implementation. Here is the list of tips, grouped by the general themes of handling files safely, insuring data integrity, and dealing with exceptions.

  1. Confirm the accuracy of your catalog data. Export your catalog data (i.e., list of products, list of customers, list of suppliers) and all their relevant attributes.  Check for wrong or suspicious values in the attributes (especially item lead times and costs).  Problematic values include blanks, zeros when you don’t expect zero as a data value, and text strings when you expect numeric values (or vice versa).  It can help to open each extract file in Excel and filter on each attribute field, looking at the unique values to see what jumps out as not like the others (e.g., “1”, “2”, “&&”, “3”…).

 

  1. Confirm the accuracy of your grouping data. Another useful activity that can be done while viewing the product catalog data in Excel is to check major grouping/filtering fields like product family, category or class to make sure no products are assigned to the wrong category, class, or family.  Likewise check any product status/product lifecycle fields, e.g., make sure that you have correctly identified all discontinued products.

 

  1. Check for spurious control characters within text fields. Check that there are no unusual characters extracted in your product descriptions, such as carriage returns or tabs within the description value itself.  If so, make sure you can extract that data using double quote enclosures around the description or else fix data entry errors in the ERP system directly.

 

  1. Verify that data have a standard layout. Check that your extracts of transactional data (e.g., customer orders, customer shipments, purchase orders, supplier receipts) contain no duplicate rows.  If they do, either identify what fields need to be added to make the rows distinct or, if they are truly duplicates, remove the extra copies in the ERP database.

 

Dealing with Exceptions

 

  1. Detect and react to exceptions. Identify any attributes of transactional data that would mean they should not be used, such as cancelled orders.  Understand the process around mistakenly entered orders or cancelled orders to ensure against counting, or double counting, these types of transactions.  Watch for other data attributes that would imply that attribute should not be used, such as drop shipping to the customer directly from a supplier rather than shipping it from your own company. 

 

  1. Codify the handling of exceptional internal transfers. Define the idealized record of emergency internal stock transfers and then provide rules to edit any transactions done on an emergency basis that vary from the ideal pattern.  For example, if product P1 is supposed to be shipped out of location A, but there was an emergency shipment out of location B, the demand history for P1 at location A is hijacked and less than it should have been.  If possible, provide a rule on the preferred shipping location for each product so that the history can be corrected by the inventory optimization software for forecasting purposes.

 

  1. Devise a procedure to handle supersession. Supersessions arise, for instance, when adopting a new ERP which re-indexes the products, or an old product is replaced by an updated version, or an entirely new product obsoletes and old one. If product identifiers changed within the past few years for any reason, identify a mapping from the old product ID to the new.  These rules should be available to the demand planning and forecasting system and editable within the application.

 

Failure to anticipate data problems is a major impediment to smooth implementation of new analytical software. No list can enumerate all the odd things that can go wrong in curating data, but this one highlights common problems and sensible responses.

 

Note: For more on how data problems can stymie the application of advanced analytical  software, see Sean Snapp’s excellent blog on how this issue is obstructing the application of artificial intelligence and machine learning.  https://www.brightworkresearch.com/demandplanning/2019/05/how-many-ai-projects-will-fail-due-to-a-lack-of-data/

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