SaaS solutions for manufacturing, distribution, and MRO supply chain leaders looking to proactively plan demand, balance tradeoffs, optimize stock levels, and drive more effective outcomes for their business.
Software for statistical forecasting, demand planning, and inventory optimization.
Uncertainty is expensive.
But with Smart, you’ll be ready for whatever comes next.
- Generate accurate demand forecasts and optimal stocking policies in seconds.
- Know how much is too much and when to add more.
- Understand the cost vs. benefit of each inventory decision.
- Wield inventory as a competitive asset.
- Drive up service levels, and drive down costs.
“Smart is the only one out there that has really licked the intermittent demand modeling challenge. We get accurate information and more importantly at the lowest dollar. Without Smart, I think we would have seen continued growth in our inventory and not necessarily gotten any greater benefit for service.”
“I studied all the best practices from numerous sources and found that Smart’s approach was addressing everything. Smart is helping me save time and automate the inventory planning process, which ultimately is helping me scale our business. We now have a great inventory planning and forecasting process generating measurable value that can be plugged into whatever ERP we choose.”
Chief Executive Officer
“Smart IP&O allowed us to transform our manually maintained stocking levels to a service level-based model that drove significant improvements in fill rates while optimizing total inventory on hand. The accurate forecasts of stocking levels provided fact-based data that allowed us to strategically phase the consolidation effort where warehouse space was at a premium.”
Customers Using our Demand and Inventory Forecasting Software
How the Smart IP&O Platform Can Help
Smart IP&O, a Digital Supply Chain Platform
Pursuing best practices in Demand Forecasting and Inventory Optimization
What do you do when you are forecasting an intermittently demanded item, such as a spare part, with an average demand of less than one unit per month? Most of the time, the demand is zero, but the part is significant in a business sense; it can’t be ignored and must be forecasted to be sure you have adequate stock.
Every field, including forecasting, accumulates folk wisdom that eventually starts masquerading as “best practices.” These best practices are often wise, at least in part, but they often lack context and may not be appropriate for certain customers, industries, or business situations. There is often a catch, a “Yes, but”. This note is about six usually true forecasting precepts that nevertheless do have their caveats.