Siddharth Shahi

Co-Founder

Bengaluru, Karnataka, India11 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Founder of AI-driven inventory management solution.
Expert in demand forecasting and inventory optimization.
Proven track record in enhancing gross margins.

Stackforce AI infers this person is a SaaS expert specializing in AI-driven inventory management solutions for retail and commerce.

Contact

Skills

Core Skills

Ai PlanningInventory ManagementData AnalysisCustomer Insights

Other Skills

Demand SensingPricing & PromotionsMerchandisingInventory PlanningAI algorithmsDeep Neural ArchitecturesTeradata SQLRVBAExcelClustering algorithmsCHAIDData ScienceBig Data AnalyticsPython

About

I am Founder of TrueGradient where we are building AI agents to manage inventory for modern commerce brands. Running a Shopify brand today is incredibly complex. Hundreds of SKUs, unpredictable demand, supplier lead times, promotions, marketing spikes — and yet most teams are still trying to manage planning through spreadsheets and static dashboards. That’s why brands constantly face the same problems: • Products going out of stock • Cash locked in excess inventory • Reactive planning instead of proactive decisions At TrueGradient, we’re building something fundamentally different. Instead of another dashboard or forecasting tool, we’re building an AI planning agent that continuously analyzes your business and tells you: What will go out of stock, When to reorder, and What decisions to take next. The system runs continuously in the background and surfaces planning actions in real time — even directly on mobile — so operators can make decisions quickly without digging through spreadsheets. Think of it as an always-on planning system for modern commerce teams. Right now I’m connecting with Shopify founders and operators to understand how brands currently manage inventory and planning decisions. If you run a Shopify brand, I’d love to connect and hear how you're solving this today.

Experience

Truegradient

Co-Founder & CTO

Dec 2022 – Present · 3 yrs 3 mos · Bengaluru, Karnataka, India

TrueGradient is a self-serve AI product which has purpose built solutions to solve supply chain problems including
Demand Sensing
Pricing & Promotions
Merchandising
Inventory Planning
The software is used to optimise
Working capital by improving sales, distribution and inventory levels at the most granular level.
Forecasting Accuracy, Irrespective of your company’s sector, a 5%-10% improvement in demand forecasting accuracy translates to 3-6% higher sales, thus helping you to maximise PAT.
Gross Margin based on the assortment mix, number of facings and demand transference
Profit/ Revenue/ Margin based upon self price & cross price elasticity, typically, a 5% - 10% change on elastic items translates to 2%-3% volume sales improvement
TrueGradient is like an AI expert that provides you solutions based on objectives defined by the user. It has been developed with a foundation of advanced AI algorithms (Deep Neural Architectures).

Demand SensingPricing & PromotionsMerchandisingInventory PlanningAI algorithmsDeep Neural Architectures+2

Samya.ai

2 roles

Senior Data Scientist, Founding Engineer

Promoted

Jul 2021 – Dec 2022 · 1 yr 5 mos

Samya.ai was acquired by Fractal Analytics in 2021 and has been rebranded to Asper.ai now

Data Scientist, Founding Engineer

Jan 2020 – Jul 2021 · 1 yr 6 mos

Dunzo.in

Data Scientist, Customer Experience

Aug 2018 – Jan 2020 · 1 yr 5 mos · Bengaluru Area, India

Ola (ani technologies pvt. ltd)

2 roles

Senior Product Analyst, Customer App Experience

Apr 2018 – Aug 2018 · 4 mos · Bengaluru Area, India

Product Analyst

Sep 2016 – Mar 2018 · 1 yr 6 mos · Bengaluru Area, India

Mu sigma inc.

Decision Scientist

Jun 2015 – Sep 2016 · 1 yr 3 mos · Bengaluru Area, India

Working as a Decision Scientist (Business Analyst) at Mu Sigma, helping the Marketing and Campaigns division of a major Australian telecom in providing solutions that would improve customer retention and average revenue per user.
The project I've worked on required me -
1) To work extensively on the customer data to extract the meaningful information using Teradata SQL
2) Do proper pre-processing of data using SQL and statistical tools like R to create the analytical dataset
3) Use clustering algorithms like k-means and k-medoids to get the required clusters based on business context
4) Also did dependant base categorization using CHAID to get customer segments
5) Found actionable insights for the client and present them through tools like VBA and Excel
I also have experience in Campaign Design and Measurement, using different statistical tests and done Post-Campaign analysis to understand the effectiveness of different marketing campaigns.
Also worked on Customer segmentation for the Loyalty and Rewards programs for the Australian telecom.