SignalDemand's software solutions include:

MarketForecaster™

Provides commodity price forecasts through an intuitive user interface, enabling fact based decision making for manufacturers, retailers, restaurants and others as they buy and sell commodities, or products made from commodities. The solution generates market-level price forecasts using a variety of inputs, including information from data aggregators such as the USDA. As such there is no implementation required for this one stop shop for historical and projected commodity prices. Learn more >

PriceForecaster™

Includes the MarketForecaster capabilities, combined with price forecasts for the top twenty-five products bought or sold by the organization. The forecasting models are aligned to your strategic goals and incorporate additional industry and corporate information considered relevant. IBM Business Intelligence solution, Cognos 10 has also been embedded to provide analytics with the PriceForecaster software-as-a-service solution.

PriceManager™

Extends PriceForecaster by applying the same mathematical models and rigor to all products and all channels. Enhanced application and analytic capabilities provided by IBM Business Intelligence solution, Cognos 10 provide pricers and sales representatives with additional fact-based insight into customer buying patterns, price sensitivity, and helps to identify the highest margin opportunities.

PriceOptimizer™

Represents the next step in the path to value by generating a market clearing optimal price by product, by channel. The result is a reduction in the number and the severity of "fire sales" conducted by manufacturers, thereby raising average margin and lowering price volatility. This also has the benefit of increasing pricing discipline and creating more opportunity for trading partners to work closely together, leaving behind the traditional "bid and quibble" relationship.

PriceOptimizer includes robust cost, supply and demand models, as well as the forecasting engines included in the earlier solutions. PriceOptimizer then uses IBM WebSphere iLog CPLEX Optimizer to provide recommendations for price and volume allocations which enable a manufacturer to clear inventory or capacity most profitably. In addition, IBM Business Intelligence solution, Cognos 10 has been embedded to provide robust analytics on top of the rich dataset created as a part of the PriceOptimizer solution.

EnterpriseOptimizer™

Supports organizations as they seek to optimize product, customer and channel mix as well as their production plans and prices. Through this complete solution, organizations are able to optimize their business performance by shaping demand across products, channels and customer segments. This solution helps enhance customer partnerships with an automated approach to finding win-win opportunities to be shared with partners. It also creates a very fast and efficient price quoting process.

EnterpriseOptimizer expands upon the foundational cost, supply and demand models, as well as the forecasting engines provided within PriceOptimizer. EnterpriseOptimizer also uses IBM WebSphere iLog CPLEX Optimizer to provide recommendations for price and volume allocations which optimize the overall profit of the organization. In addition, IBM Business Intelligence solution, Cognos 10 has been embedded to provide robust analytics on top of the rich dataset created as a part of the EnterpriseOptimizer solution.

Solutions based on Software-as-a-Service

SignalDemand's solutions are built as secure, multi-tenant SaaS (Software-as-a-Service) offerings, using the latest web-based technologies. SignalDemand securely hosts and operates the application for use by customers over the internet. Customers can access a secure application anytime, anywhere-making SaaS the ideal choice for the critical work of price and margin optimization. With a SaaS application, executives and managers are able to concentrate on running the business without the distractions inherent in implementing and maintaining traditional enterprise software.

Other SaaS advantages include:

• Lower IT commitment as limited IT-related resources are required to implement the solution
• Faster time to value resulting from the ease of implementing SaaS applications - organizations realize application benefits more quickly than possible with traditional enterprise software
• Ongoing model maintenance by an experienced team of scientists
• Frequent, rapid upgrades ensuring continually enhanced value