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BOSTON, February 16, 2022 : ToolsGroup , a global leader in supply chain planning and optimization software, has partnered with Planalytics to integrate their weather-driven demand (WDD) analytics with ToolsGroup’s retail planning solutions, enabling customers to isolate, measure, and manage the influence of weather on their businesses.
Setting the Stage The National Retail Federation’s 2025 conference has unveiled a clear vision of retail’s future, where artificial intelligence, integrated planning solutions, and customer-centric approaches are reshaping the industry landscape.
As an analyst in the battered supply chain software market for a decade, it is fun to watch you grow. Clients buy your software because you make it real. I always start the discussion of all software acquisitions with the same statement: the acquisition of software is seldom a good deal for the buyer/user of software.
The article is written and the story is spun, but the solution offered is a supply-centric solution based on yesterday’s technology. As a result, articles are written proclaiming demand-driven results and then the reader is given a solution that is anything but demand driven. The concepts surrounding demand driven sound right.
As an analyst in the supply chain market for 15 years, I have written many articles on best-of-breed technology companies purchased by a larger company. The initial software product release name was Real-Time Forecasting. E2open sells a cloud-based solution for network collaboration. History of Terra Technology.
Science Direct ) Predictive demand analytics gives retailers the visibility they need to proactively adjust planning, allocation and replenishment decisions based on when, where, and how much changes in the weather will influence purchasing. Proven Retailer ROI: The Business Case for a Comprehensive Retail Planning Solution.
Surveys have shown that consumers are 71% more likely to make a purchase based on social media referrals, and 47% of millennials’ purchases are influenced by social media1. Examples are: customer experience metrics, feedback on new product features and pricing, customer satisfaction and loyalty, and competitive intelligence.
It often employs statistical metrics like MAPE (mean average percentage error), which has hit a wall in recent years due to increased demand volatility and this approach's mostly backward-facing nature. Demand sensing software must reconcile the signals with the forecast. Demand Planning. Demand Sensing.
82% of people have concerns that the supply chain will ruin life plans, such as birthdays, vacations, holidays, and the purchasing of necessary items. Overcome supply chain challenges – and maximize margins in the face of inflation – with retail planning software and demand forecasting tools. Material Handling & Logistics ).
Using this data, advanced predictive models can estimate when failures are likely to occur and recommend appropriate timelines to perform corrective measures, allowing manufacturers to organize their production schedules based on predicted equipment availability metrics. Increase overall equipment effectiveness (OEE).
To remain competitive, retailers who invest in open-to-buy planning software are able to keep an eye on their financial health and grow a successful business, while aligning inventory optimization with revenue goals. The benefits of open-to-buy. Reach Optimal Inventory Levels by Having the Right Amount of Stock Available.
Whereas retailers once purchased merchandise largely based on the gut instinct of trend-savvy buyers and the push of whatever manufacturers tried to sell them, nowadays, they need to take a much more customer-focused and data-centered approach. How lean retail impacts business goals and revenue targets.
As I read the literature, I felt out of touch and old-fashioned. “How could I not know about supply chain planning software?” On the plane to my interview, I read everything I could about planning software and thought about the simple spreadsheet challenge that was the genesis of my journey. ” I thought.
In today’s dynamic retail landscape, promotions are undeniably a potent tool for driving sales and customer engagement. ” Rather than compelling customers to make purchases, the abundance of discounts can overwhelm them, resulting in decision paralysis.
” At the other end of the continuum is the argument that “ Forecast error is the most important metric to improve.” I worked for a software company for almost a decade and implemented demand management solutions in the 1990s for multiple companies. ” I am in the middle. Here I share my world view.
It often employs statistical metrics like MAPE (mean average percentage error), which has hit a wall in recent years due to increased demand volatility and this approach's mostly backward-facing nature. Demand sensing software must reconcile the signals with the forecast. Demand Planning. Demand Sensing.
Employing machine-learning based forecasting tools, retailers can predict potential sales at the front-end of the assortment planning process. Retailers have relied on an “Open-to-Buy” budget as a way to both control spend and determine what inventory to purchase. The analogy is pruning a garden.
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