Inability to isolate and account for the
impact of both internal and external
factors
Inconsistency in reconciling multi-level
and multi-horizon plans
Slow response time and low agility
Not accommodating rapidly evolving
demand patterns
Poor new product forecasting
Inability to anticipate and proactively
respond to future exceptions
Weak forecasting accuracy at the
granular level
Heavy human bias in planning
and ineffective collaboration
Too much manual effort in managing
the long tail
Samya’s new paradigm of probablistic artificial intelligence, purpose built for CPG is Revenue Growth.ai, which is made up of four components that each address the specific needs of each unique user group.
Dynamic Demand.ai is the central component operating at the intersection of sales & distribution, pricing & promotions, and inventory. Dynamic Demand.ai goes beyond forecasting accuracy to give demand planners true AGILITY to proactively handle the 1000s of emerging potential shocks to the plan/forecast and ANTICIPATE future risks and opportunities with high frequency.
Early warning on future demand risks and opportunities
Agile dynamic demand anticipation
Identify and remove human bias
Demand risk & opportunity
quantification and prioritization at
the most granular levels
Demand drivers (internal &
external) attribution and contribution
AI-guided prescriptive forecast
adjustment recommendations
Analyze trends in one place;
prediction intervals, top impact
factors, recommended value, etc.
Automate and scale long-tail
forecast adjustment decisions with a highly configurable and
parameterized workflow
Export files or integrate via APIs for minimal impact to workflows
and systems
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