Real-Time Transaction Feed (RTTF) is a software solution that communicates production data
directly from your METTLER TOLEDO networked scales to your existing production management
and related store management systems. Secure and easy-to-use, RTTF helps retailers boost
productivity and profitability by offering store-level information as it happens. This data enables
retailers to reduce shrink, set loss prevention alerts, plan production and staffing resources, and
archive information for data-driven decision-making.
|Operating System||Windows, Linux|
|RAM memory||4096 MB|
|Supported devices||FreshWay Line scales, FreshBase Line scales, UC Evo Line scales, Impact Line scales, 800 Series Wrapping Machines, METTLER TOLEDO Legacy Scales (UCST, 8361, ...)|
Optimize Production Planning
Determining optimal case stock levels for fresh products and prepared foods requires accurate data. Getting that data in real-time enables retailers to make better informed decisions about production that have a positive impact on store profitability. RTTF software pushes production information to multiple subscribing endpoints simultaneously as it happens.
Data-Driven Resource Guidance
Scheduling personnel, such as meat cutters in the backroom, requires data-driven knowledge of peak customer demand times. RTTF provides instant production information to help make resource planning decisions. This data can be stored directly to a database of detailed transaction records, including the means to centralize from multiple locations across the enterprise.
Make sure your customers can buy what they want, when they want it while preventing excessive production volume to limit overstock and improve shrink reduction. Use RTTF detailed transaction information to create alerts for specific events of compliance and oversight, such as overrides for price changes to assist in loss prevention efforts.
Streamline IT Operations
Eliminate conflicting communications with network scales and reduce network traffic with RTTF. Push real-time information containing only the relevant transaction detail from scales, eliminating the need for external systems to query scales periodically to determine if new information is available.