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Data Profits Makes Managing Seasonal Demand Easier in 2016ATLANTA, August 16, 2016 – At this critical time of year, retailers rely on seasonal merchandise to reach their Fall sales goals. Retailers are also deep into planning and buying for Halloween and Christmas goods for 2016. To help retailers assess their 2016 performance and get a jump on 2017, Data Profits is offering retailers their new “Seasonality Tool Kit” as a free download. The kit includes a seasonal index calculator and Data Profits’ best demand forecasting advice as well as other useful information for optimizing inventory during peak seasons.

“With retailers starting pre-Thanksgiving sales earlier and consumers pushing their online shopping into Cyber Week, seasonal selling patterns are changing rapidly,” says Stuart Dunkin, CEO of Data Profits. “Unfortunately, many retailers are relying on legacy systems that cannot react quickly enough to maintain service levels.”

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Data Profits Empowers a Demand driven Strategy for Retailers Gearing up for Holiday Shopping

Empowering Retailers with a Demand-driven Strategy for Holiday Shopping

ATLANTA, October 13, 2015 – For retailers, planning for the 2015 holiday shopping season – the season that can make or break the sales year—has been in process for months. In the case of shelf-stable stock, large purchase orders are already sitting on retail shelves. Leveraging technology to deliver actionable insights and forecasts, Data Profits provides retailers with the tools to ensure a profitable, nearly worry-free holiday season. Retailers can now take advantage of their free download “Data Profits 5 Step Checklist for Retailers to Gear Up for Holiday Shopping Season.
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dataprofitsmoneyATLANTA, June 23, 2015 /PRNewswire/ — Data Profits Inc., (http://www.data-profits.com), a leading mid-market solutiondemand forecasting provider, announced today that The Empire Company LLC has selected Data Profits for their demand forecasting, order management, and replenishment solutions.

The Empire Company LLC, headquartered in Zeeland, Michigan, is one of the largest millwork distributors in the United States. Their product lines include: moulding, stair parts, hardwood and softwood boards, plank paneling, PVC products, decorative moulding accessories, and columns.  The Empire motto, “The customer always comes first”, has been the underlying theme to their success and growth. Finding a new partner to continue their success was a key decision for their organization’s future.

“Adopting Data Profits’ solutions will positively impact our cash flow, and give us better tools to maintain the high service levels our customers expect,” stated Empire’s Kevin Spalding, VP of Supply Chain. “The iKIS™ solution provides higher supply chain visibility, more accurate demand forecast, and streamlines our replenishment processes.”

“Social media has created a constantly changing marketplace, forcing retailers and distributors to adopt responsive demand forecasting and replenishment processes. The results from iKIS™ are unlike anything previously available from legacy distributor systems,” said Stuart Dunkin, CEO of Data Profits. “By focusing capitol spend on better selling products, our customers see higher service and sales.”

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7 Reasons Demand Driven Is More Than a Buzz Word

ATLANTA, June 2, 2015 – When it comes to software-as-a-service (SaaS) providers, things aren’t always as they seem. In fact, some software vendors calling themselves SaaS providers may actually be representing Web-hosted or cloud-based services–which, although similar to SaaS, are typically less secure and more costly. Now demand forecasting company Data Profits wants to make sure potential clients know the critical between SaaS and Web-hosted solutions.

“Many vendors have latched onto SaaS as a buzzword but have not actually built an architecture supporting that model,” said Data Profits founder and CEO Stuart Dunkin. “Prospective clients may not be aware of that key point, but the difference is important. True SaaS entails efficiencies that Web-hosted services cannot match, not to mention a significantly smaller risk profile.”
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iKIS Promotion Management Module Provides Cutting Edge Retail Promotion Forecasting

ATLANTA, July 22, 2014 /PRNewswire/ — Data Profits Inc. announced the release of their iKIS™ Retail Promotion Solution that extends End-to-End Promotion Planning for the Retail, Wholesale, and Grocery Industries.
Data Profits (http://www.data-profits.com), a leading mid-market Supply Chain Management (SCM) solution provider delivering key demand driven forecasting and inventory replenishment functionality that leads to higher supply chain performance and profitability, is excited to offer new functionality to its customers and their suppliers that provides an end to end solution for trade promotion planning and execution.
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Data Profits Chosen by Gartner Research for Inclusion in 2013 Forecasting and Replenishment Guide for Retailers

Leading mid-market SaaS Supply Chain & Planning solution highlighted by Gartner

Atlanta, September 17, 2013 – Data Profits Inc. has been selected by Gartner Research to be included in their latest research report titled “The Gartner Retail Forecasting and Replenishment Vendor Guide, 2013,” published in August 2013. In this annual guide, Mike Griswold, Research VP at Gartner, analyzes the available SCM solutions to identify the key demand driven forecasting and inventory replenishment functionality that leads to higher supply chain performance and profitability. This guide is designed to be the starting point for retailers to select an appropriate solution provider based on forecasting and replenishment initiatives.
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Data Profits’ iKIS Now Provides Real-Time Supply Chain Visibility

Speed, Data Granularity, and Groups Combined with Actionable Customization Will Drive Profits in 2013

Atlanta, December 19, 2012 – In 2013, mid-tier retailers, distributors, and grocers will increasingly need real-time actionable insight their into supply chain to drive behavior changes and profitability. Data Profits’ (http://www.data-profits.com/) iKIS supply chain visibility solution provides actionable insights, allowing companies to access granular data across both internal and supplier and/or logistics data sources, translating big data into analysis based on computer generated statistics which is coupled with human intellect. The alerts and recommendations are actionable within the Data Profits’ SaaS (software as a service) solution without opening several legacy applications.
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Data Profits’ Proven Demand Forecasting Retail Inventory Solution Now Available for Grocery

Data Profits’ iKIS Provides Grocery Industry with Demand Forecasting, Alert and Exception Management and Complete Supply Chain Visibility

Atlanta, October 2, 2012 – Grocers now have access to best-in-class demand forecasting, customizable exception management, and VMI with the Data Profits’ (http://www.data-profits.com) iKIS solution, which reduces loss in the supply chain and increases profits. Data Profits’ iKIS, “Internet’s Keeping Inventory Simple,” is a Software as a Service (SaaS) solution that leverages big data and the latest technology to accurately forecast with a 30 day install at less than 1/2 the cost of the competition.

“Data Profits understands the complexities of grocery including shelf life, investment-buying, deal and promotions buying, all while taking into consideration all seasonal, market, and event factors to create an accurate demand forecast,” said Stuart Dunkin, CEO of Data Profits. “Data Profits’ unmatched number of algorithms provides on-demand processing for grocers so they can make immediate adjustments and help prevent out-of-stock from sales, promotions, or disasters on a daily basis.”
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Atlanta, July 17, 2012 – Data Profits (www.data-profits.com), developer of the iKIS™ solution delivers demand forecasting, inventory management, and collaboration tools to leading wholesalers/distributors, suppliers, and mid-tier retailers, announced today continued success with its iKIS Lead Time Forecasting Engine which provided a return on investment in less than 90 days for a Top 100 North American Retailer. The Data Profits’ iKIS solution allowed a retailer to negate more than a million dollar inaccuracy in lead time planning by accurately forecasting when product would arrive at their distribution warehouse.

“The retailer’s losses were caused by missed sales due to inaccurate lead times. Their inventory planning and vendor compliance systems were not able to quickly react to the dynamic marketplace,” said Stuart Dunkin, CEO of Data Profits. “The Data Profits’ iKIS solution tracks real time changes to purchase orders and lead time to quickly adjust order amounts to meet fulfillment goals. As part of the process, vendors and buyers were automatically alerted to changes, vendor behavior, associated costs and the iKIS system updates based on proprietary business intelligence (BI) tools and forecasting algorithms.” Read More

Improving Forecast-Accuracy-Delivers High ROIBusiness Intelligence Tools Deliver Consumer Insight and Demand Forecast at New Levels of Detail and Accuracy

Atlanta, June 28, 2012 – Data Profits (www.data-profits.com), developer of the iKIS™ solution which delivers demand forecasting, inventory management, and collaboration tools to leading wholesalers/distributors, suppliers, and mid-tier retailers, announced today a recent installation in a top 100 consumer electronics retailer which resulted in improved forecast accuracy from 16.9 percent to 98.2 percent with return on investment realized in the first 60 days.

“In today’s world of technology savvy consumers and big data, retailers must find an efficient way to merge business intelligence, forecasting and customer insight into usable information that creates results. Our recent success showcases the return on investment our iKIS solution provides by translating the retailer’s big data into consumer insights,” said Stuart Dunkin, CEO of Data Profits. “Unlike legacy systems in the market that have simply upgraded to a web interface, our software is built to work online, analyze the huge amounts of customer data at high speeds and translate the analysis into consumer insight – demand forecast. As you can see in the recent example, this provides a very accurate demand forecast.”

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