Planvisage is provider of Supply Chain Management (SCM) Solutions which helps manufacturing businesses to proactively respond to real-time supply chain problems, thus providing a sustainable competitive advantage to its customers.Our SCM suite of products is a scalable, cost-effective solution that increases both top line revenue and bottom line profitability through greater sales margins and increased efficiency. Established in 2003 in Bangalore, Planvisage was created with one objective – help customers realize huge cost savings and revenue opportunities, by eliminating supply chain inefficiencies.
- Managing demand is structured to support the needs of all users through a unique set of hierarchical and parallel hierarchical structures to facilitate marketing’s task to manage market segments
- Merchandizing with departments, classes, sub-classes, SKUs or any other structure used
- Sales with categories, regions, and customers
- Operation’s with product families, groups, and lines
- Naturally this allows for flexible slice-and-dice capabilities by rapidly accessing and viewing data and making adjustments at aggregate or detail levels, benefitting each user community’s need
- Planning can be in days, weeks, months, quarters, and years
- Planvisage uses the powerful R statistical forecasting engine incorporating the best time series techniques available anywhere worldwide, including the following algorithms:
- Arima
- Auto Arima
- Auto Exponential Smoothing
- Auto Regression
- Croston
- Exponential Smoothing
- Holt Winters Smoothing
- Simple Moving Average
- Weighted Moving Average
- In addition, users have the option to add their own algorithms
Demand Planning Benefits
- To support each functional area within the organization to view data supporting the way they work
- Unlimited number of hierarchies and parallel hierarchies to suit the needs of the most demanding users
- Merchandisers group product into departments and sub-departments to support their area of control
- Buyer/Planners review product in aggregate and detail prior to release to suppliers or the plants
- Operations review data by product group and family tied to production lines
- Sales personnel reviews sales by customer by product category, or product category by customer
- Sales managers interrogate the total effort of his or her team in detail or aggregate
- Forecast adjustments made top-down, bottom-up, middle-out
- Data viewed in units, cost, selling price, margin, volume, weight, and percentages making up aggregate
- Aggregates not stored but calculated on the fly providing greater flexibility ensuring data accuracy at all times
- Product ranking from the most to least critical by cost, selling price, margin, and/or volume
- Product ranking from high to low frequency of demand
- Product analysis groups the most critical items with highest demand frequency to laser focus on what is important
- The industry leading R forecasting engine provides high quality predictions allowing for a reduction in safety inventory
- Detailed forecasting supports detailed budgeting and performance measures showing actual sales to forecast and budget
- Performance measurements allows for accountability and responsive corrective action
- Graphical displays where a picture is worth a thousand words
- Dual forecasting graphs, one sequential, the other stacked to immediately see trend and seasonality
- Supersession allows linking of old to new items to provide meaningful history for effective forecasting of new product
