Orchestro has announced version 9 of its SaaS-based demand signal management platform – Tango. This release is focused on helping clients maximize efficiency within their supply chain, store-level field and broker operations, inventory distribution and other areas. The company also announced streamlined pricing for the Tango platform.
Supply chain analytics based on root cause workflow: Inventory distortion – out-of-stocks and overstocks – is a global problem and costs North American retailers alone over $252B annually, according to a recent study by IHL Group. CPG companies could reduce this problem by better managing their supply chains and forecasts using actual in-store demand data.
Orchestro’s Tango Insights now includes a set of detailed supply chain analytics designed to combat inventory distortion. Designed to support root-cause analysis, the reports help customers identify potential problems with in-stock percentage, adjust forecasts and track forecast error using Mean Absolute Percentage Error (MAPE), quickly view their inventory pipeline, and validate compliance with retailer mandates related to fill rates, delivery dates and other inventory measures.
Closed-loop broker activity reporting: CPG companies spend billions annually on 3rd-party brokers to help them manage in-store execution, promotions and other inventory activities. To get the most from this investment, CPG companies need a mechanism to ensure that broker personnel are focused on addressing the right issues, in the right places, at the right times. Part of Orchestro’s Tango Science, ShelfSense™ delivers on-shelf availability (OSA) alerts to brokers, prioritized based on lost sales opportunity. Broker activity to correct in-store issues is also captured within the platform to “close the loop”. ShelfSense includes dashboards to show broker activity on alerts, lost sales recaptured and other metrics for any retailer-broker combination.
By combining three core sensing applications into one solution, Tango Science (formerly Tango Cues) is unique in its ability to pinpoint, prioritize and preempt the service level exceptions that plague the industry today. By using modern data science technology and tools, Orchestro’s customers have found tremendous benefit in addressing store-level and shelf-level issues that are unique to each of their distribution channels.
Demand-focused inventory orders: It can take CPG operations personnel hours to create store-specific orders for promotional inventory replenishment – and in most cases these orders don’t take current inventory or in-store demand into account. Excessive orders may result in overstocks, contributing to inventory distortion. Using the new store ordering feature within Tango Science PromoSense™, CPG personnel can create more accurate orders in a fraction of the time – saving both time and money.
“By enabling our customers to quickly identify and resolve supply chain and in-store execution issues, we help them maximize their efficiency,” said Gary Maxwell, Chief Solutions Officer for Orchestro. “This helps our customers minimize inventory distortion and capture lost sales opportunity.”
With this release, Orchestro is also introducing an industry first pay-as-you-grow pricing model to align with the data growth generated on a daily basis. The new model continues to include unlimited user licenses and is driven by a tiered data volume structure. This provides greater transparency and ensures the platform equates price to value for even the smallest CPG companies.
Source: Orchestro
