Abstract: A method to select in-store or e-commerce channels for optimized delivery of creative media to consumers includes selecting, based on a prior purchasing behavior for a consumer, a targeted offer, wherein the targeted offer includes at least one of a coupon, a discount, or an advertisement for a retail product. The method also includes selecting a channel for the consumer to redeem the targeted offer, wherein the channel for the consumer to redeem the targeted offer includes one of an in-store redemption of the targeted offer or an online redemption in a shopping basket, providing the targeted offer for display in a client device used by the consumer, and indicating, in the display, the channel for the consumer to redeem the targeted offer. A non-transitory, computer-readable medium storing instructions and a system to perform the above method are also provided.

Abstract: A method to form an interactive digital payload for consumers is provided. The method includes selecting, based on a prior purchasing behavior for a consumer, a digital payload including a sponsored advertisement and at least one of a targeted advertisement, a coupon or a discount, for a branded product, selecting a slot for the sponsored advertisement within the digital payload, providing the targeted advertisement, the coupon or the discount for the branded product in a second slot within the digital payload, and providing the digital payload to a publishing server for insertion in a media content that is delivered to a client device with the consumer. A system including a memory storing instructions and a processor to execute the instructions and cause the system to perform the above method are also provided.

Abstract: TPO is an industry-neutral price optimization solution that recommends optimal prices by performing simultaneous evaluation of all network-wide demand and supply considerations. TPO produces an optimal time-phased price profile designed to achieve the greatest return on inventory. An optimizer technique takes the baseline demand forecasts, competitive intelligence, inventory data, and other related parameters and data representing real-world objects, and determines the optimal prices at which the user will achieve the greatest return on inventory. The optimizer technique can be directed to maximize revenues, profits, or market share. TP produces a recommended price profile, that can be manipulated in an interactive graphical user interface, and illustrates what price must be charged now, and what prices must be charged later in the booking cycle. Using price sensitive forecasting to estimate how price impacts demand, TPO helps users to maximize revenues, profits, or market share.

Abstract: TPO is an industry-neutral price optimization solution that recommends optimal prices by performing a simultaneous evaluation of all network-wide demand and supply considerations. TPO produces an optimal time-phased price profile designed to achieve the greatest return on inventory. An optimizer technique takes the baseline demand forecasts, competitive intelligence, inventory data, and other related parameters and data representing real-world objects, and determines the optimal prices at which the user will achieve the greatest return on inventory. The optimizer technique can be directed to maximize revenues, profits, or market share. TPO produces a recommended price profile, that can be manipulated in an interactive graphical user interface, and illustrates what price must be charged now, and what prices must be charged later in the booking cycle. Using price sensitive forecasting to estimate how price impacts demand, TPO helps users to maximize revenues, profits, or market share.

Abstract: TPO is an industry-neutral price optimization solution that recommends optimal prices by performing a simultaneous evaluation of all network-wide demand and supply considerations. TPO produces an optimal time-phased price profile designed to achieve the greatest return on inventory. An optimizer technique takes the baseline demand forecasts, competitive intelligence, inventory data, and other related parameters and data representing real-world objects, and determines the optimal prices at which the user will achieve the greatest return on inventory. The optimizer technique can be directed to maximize revenues, profits, or market share. TPO produces a recommended price profile, that can be manipulated in an interactive graphical user interface, and illustrates what price must be charged now, and what prices must be charged later in the booking cycle. Using price sensitive forecasting to estimate how price impacts demand, TPO helps users to maximize revenues, profits, or market share.