Speed-to-Value : Accelerating Supply Chain performance through AI
The above image shows the evolution of speed-to-value. In today’s era, leading companies are considering innovative solutions, and have been able to beat their baseline/legacy performance (KPIs) in few weeks. KPIs such as demand forecast accuracy, days of supply/working capital and promotion spend.
Seven tenets driving speed-to-value:
1. User empowerment/participation
Ability to engage directly with AI models, eliminating the need for extensive technical expertise. Users can engage with more conviction.
2. Highly configurable/adaptable user interface
User-friendly interface that allows to easily access and interpret AI-driven insights. Flexibility to adjust parameters based on evolving business needs.
3. Explainability of AI recommendation
No more AI black-box. Full visibility to underlying causals / drivers / features, leading to better adoption and trust in the model recommendation.
4. Auto input data quality control
Input data quality is fundamental for an optimal outcome. Automatic quality control algorithms are in play in a modern platform.
5. Auto data model creation
Optimal data model is another fundamental. Data engineering or stitching the data together is highly automated in a modern platform.
6. Cloud cost optimization
Cloud cost optimization is a hard problem. Ability to keep the cloud cost low, gives the freedom to experiment / iterate more. Cloud cost is no longer a deterrent for innovation.
7. Robust AI/ML stack
Advances in ensemble modelling helps unlock the power of various modelling paradigms in a unified manner: Deep learning + Machine Learning + Econometric.
Ready to unlock your full potential?
Click for demo today or email us at info@truegradient.ai
Jasneet Kohli
Co-Founder
I thrive at the intersection of business, technology, and data science to create value for CPG and Retail companies. Well-rounded experience in the entire spectrum of Supply Chain - Forecast to Ship.
Now part of an incredible journey at TrueGradient. Drawing from our experience with Amazon, Walmart, Mondelēz, and IBM, the team is committed to democratizing advanced modelling techniques. The platform drives end-to-end planning decisions (Demand, Inventory, Price, Promo, Assortment), helping companies improve service levels while minimizing costs.
In the past, i have served Fortune 500 clients. Held leadership roles in large organizations and start-up environments, such as Head of Operations, Solution Architect, Head of Customer Success, and Go-To-Market leader; worked in Asia (India and Singapore), Europe, and North America. Passionate about grooming talent and building high-performing teams.
I am an active sportsperson who plays both individual and team sports – soccer, golf, and cycling.
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