Traditional forecasting methods and software lack the acuity and ability to consider all types of factors that impact consumer demand. Rubikloud’s AI Engine continuously analyzes all your data to produce promotional forecasts that accurately reflect demand – enabling all buyers to avoid stockouts and reduce overstock, waste, and inventory costs.
%
INCREASE IN PROMOTIONAL FORECAST ACCURACY
Client saw a 48% improvement in promotional forecast accuracy compared to their currently established method.
Unlike other enterprise solutions, Rubikloud’s AI Engine integrates directly into your existing legacy applications minimizing the potential disruption from change management. With outputs that feed directly into Buyers’ existing workflows, planning and execution time reduce which allows teams to focus on higher-value opportunities.
%
REDUCTION IN PLANNING & EXECUTION TIME
Client reduced planning and execution time by 50%, resulting in 1200 full-time employee days saved in a year.
Other forecasting solutions use methods that are static and unadaptable, which do not improve over time. Rubikloud’s ML models continuously derive insights from past promotions using your historical data and business objectives. These insights are used to produce automated forecasts in real-time that feed back into your existing systems, creating a loop. This feedback constantly informs and teaches our models, continually improving the accuracy of your forecasts.
Our expandable solutions ingest data from all your raw sources and quickly converts it into a clean, usable data model. This removes the onus from internal resources and allows for seamless integration back into your legacy systems.
Our proven solutions are deployment ready, no need for costly custom builds or lengthy sessions that never lead to anything tangible. This approach delivers the fastest time to value on the market while optimizing total cost of ownership.
Using our best-in-class, industry specific Machine Learning expertise, we tackle the most complex and nuanced business challenges uniquely impacting retailers.