We introduce “Gen2”, our next generation of probabilistic modeling technology
Gen2 substantially expands the capabilities of Gen1
Gen2 harnesses daily demand and substantially advances Gen1’s probabilistic forecasting methods. Now probabilistic forecasting can be applied to all items, not just intermittent ones. Forecasts now account for daily, weekly, monthly, and quarterly trends, seasonality, and cyclical patterns. The old question of “how many forecasting methods do you use” will be simply answered as “one” for customers leveraging Gen2. While not running a tournament, you are generating a forecast based on probability distributions of each future period, enabling a much more accurate estimate of the mean demand and a more realistic assessment of forecast uncertainty since there are no assumptions about “bell-shaped curves.”
Smart IP&O Gen2 exploits daily data
The Smart Solution
One of the most significant challenges now facing demand forecasters is the increasing pace of business. In the past, forecasting processes ran at a monthly tempo, and rare was the company that even accelerated to a weekly tempo. SDP Gen1 was fed by Smart Data Pipeline, which took the most microscopic data -transactions such as individual orders and shipments- and aggregated them to daily totals. However, the classical time series forecasting algorithms in Gen1 for non-intermittent demand were best suited to working at a higher level of aggregation, so Gen1 was sufficient for the monthly or maybe weekly processes of our customers. The specialized algorithm in Gen1 for forecasting intermittent demand was an exception since it could work at any level of disaggregation. However, customers were not inclined to forecast some items daily and others monthly, so most customers defaulted to monthly data.
Now, though, the speed of business has combined with SKU proliferation to thin out demand streams, giving more items’ demand an intermittent character. As a result, Gen2 does all its calculations on daily data. If customers choose to operate at a slower tempo, daily results can easily be aggregated to weekly, monthly, quarterly or annual levels. It is easy to aggregate forecasts.
Companies using our powerful planning solutions typically reduce standing inventory by 20% in the first year, increase parts availability 10-20%, and reduce the need for and associated costs of emergency transshipment to close gaps in their supply chain. Repair and service parts inventories are truly optimized, leading to more efficient operations, improvements in customer service, and significantly less cash tied up in inventory.
White Paper: Smart Software Gen2
In this white paper, we introduce “Gen2”, our next generation of probabilistic modeling technology that powers the Smart IP&O Platform. We recount the evolution of Smart Software’s forecasting methods and we detail how Gen2 substantially expands the capabilities that have made Gen1 so useful to so many companies. Finally, we will also give a high-level view of the probability math behind Gen2 .
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A Single Platform for Inventory Planning & Optimization
Gen2 Smart IP&O Application Suite
Gen2 substantially expands the capabilities of Gen1. Smart IP&O is an integrated set of native web applications that provides a single, easy to use, scalable, environment with field proven inventory and forecast modeling that optimizes inventory stocking policy and improves forecast accuracy. Gen2 harnesses daily demand and substantially advances Gen1’s probabilistic forecasting methods.
You’ll move planning from spreadsheet based functional silos to a collaborative platform enabling executives to shape policy while empowering inventory planners to make it so .
Demand Forecasting and Inventory Optimization for Manufacturers, Distributors and MRO
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