📍 GKS Pride, Yapral, Hyderabad 500087  |  GSTIN: 22ACAFM6268Q1ZR  |  LLPIN: ACH-2617
✉️ krishnaidu@mathnal.tech 📱 +91 79936 51356
India's #1 Specialist Supply Chain AI Company

Supply Chain Intelligence
Powered by AI,
ML & Analytics

Mathnal is India's most specialised supply chain AI & analytics company — combining machine learning, agentic AI, and advanced optimisation to transform every node of your supply chain, from demand sensing to last-mile delivery.

3
Programs
100%
SC Focused
30+
AI Tools
7
SC Domains
Flagship · 2025–26 Cohort
SC AI & ML
Certification
12 Months · 416+ Hours · ₹3,50,000

📊 SC Analytics & Dashboards

Real-time Power BI & Python dashboards. KPI monitoring, ABC-XYZ segmentation, S&OP analytics for executives.

🧠 SC ML Engineering Program

110+ hrs · PostgreSQL, Python, Power BI · Forecasting to S&OP automation. Weekend batches. Starts 17 Mar 2026.

⚙️ CSCOP Certification

12 weeks · 96 hrs · Python + PuLP + OR-Tools · LP, MIP, VRP, Network Design · Amazon, P&G, DHL case studies.

Specialist Expertise In
Inventory Optimisation
Demand Forecasting
Agentic AI
SC ML Engineering
CSCOP
S&OP Analytics
Network Design
Procurement AI
Risk Intelligence
3
Training Programs
600+
Total Program Hours
30+
AI/ML Tools
7
SC Domains
15+
Industry Case Studies
100%
SC Specialised
Training Programs

Three Paths to Supply Chain Mastery

From foundational ML engineering to advanced optimisation certification — choose the program that matches your current level and career goals.

🎓 Flagship Program
SC AI & Analytics Certification
India's most comprehensive supply chain intelligence program — from Python analytics to autonomous AI agents. 6 phases, 12+ capstone projects, MLOps deployment.
12
Months
416+
Hours
6
Phases
12+
Projects
Python, SQL, Power BI, SimPy, OR-Tools, LangChain
Classical → ML → Foundation Models (TimeGPT, Chronos)
Agentic AI: LangGraph, AutoGen, CrewAI
MLOps: MLflow, Prefect, Docker, FastAPI
Live sessions · Recordings · Certification
Total Program Investment
₹3,50,000
Incl. all materials, API credits & certification
📄 View Details
🧠 Now Enrolling
Supply Chain ML Engineering
Master Python, SQL & Power BI for real supply chain problems. Classical forecasting to deep learning. End-to-end demand & supply planning automation.
110+
Hours
4
Parts
6
Steps
Live
Sat & Sun
Part 1: PostgreSQL Foundations (23 hrs)
Part 2: Forecasting with Python & Colab (35 hrs)
Part 3: Advanced Forecasting with Excel (39 hrs)
Part 4: Power BI for SC Dashboards (13 hrs)
Sat & Sun · 11:00 AM IST · Google Meet · Starts 17 Mar 2026
Standard Fee
₹40,000
USD 550 · + applicable taxes
⚡ Early Bird: ₹32,000 (USD 440) · Save ₹8,000
⬇️ Download Brochure
⚙️ Certification
CSCOP – Certified SC Optimisation Professional
The only SC-focused Python optimisation certification in India. LP, MIP, NLP, VRP, network design, risk modelling and AI — with 15+ real case studies from Amazon, P&G, DHL, Maersk.
12
Weeks
96
Hours
8
Modules
30+
Python Labs
M1–2: SC Analytics + Math Optimisation Foundations
M3–4: Procurement + Inventory (EOQ to Multi-Echelon)
M5–6: VRP + Supply Chain Network Design
M7–8: Risk Modelling + Advanced AI (GA, SA, ML)
Capstone: 4 tracks · FMCG, Airline, E-Com, Supplier Risk
Program Investment
Contact for Fees
CSCOP Certificate + Python Portfolio + Job-ready skills
⬇️ Download Brochure
What We Do

End-to-End Supply Chain AI & Analytics Services

We are India's only company exclusively focused on the full supply chain intelligence stack — from descriptive analytics to autonomous AI agents.

📊
SC Analytics & Dashboards
Executive dashboards, KPI monitoring, ABC-XYZ segmentation, exception reporting and real-time decision support — built with Python, SQL and Power BI. We turn raw supply chain data into strategic clarity.
Power BIPythonSQLKPI
📈
SC Forecasting & Demand Sensing
Full forecasting pipelines from ARIMA and Holt-Winters through XGBoost, LSTM, TFT and foundation models (TimeGPT, Chronos) — with MLOps, uncertainty quantification and auto-retraining.
TimeGPTChronosLSTMMLflow
🤖
Supply Chain Agentic AI
Multi-agent systems for procurement automation, inventory replenishment bots, supplier risk agents and S&OP copilots — built on LangGraph, AutoGen & CrewAI with human-in-the-loop governance.
LangGraphAutoGenCrewAIRAG
🧠
SC ML Engineering & MLOps
Production-grade ML systems purpose-built for supply chain — from feature engineering on transactional data to model deployment and monitoring. MLflow, Prefect, Docker and FastAPI pipelines that deliver value in production.
MLOpsDockerFastAPIPrefect
⚙️
Supply Chain Optimisation
Mathematical and AI-driven optimisation across inventory, transport, production, warehouse and procurement. OR-Tools, PuLP, Pyomo and RL deployed for large-scale combinatorial SC problems.
OR-ToolsPuLPPyomoVRP
📋
S&OP Analytics & Planning
Consensus forecasting platforms, scenario simulation engines, capacity planning models and integrated business planning (IBP) dashboards — connecting commercial, supply and financial teams in a single decision system.
S&OPIBPSimPyScenario
Products

Mathnal Product Suite

Six AI-powered supply chain products with proven ROI. Click any product to see full dashboards, visualisations, problem-solution flows, and case studies.

📈
AI / ML
SC Forecasting Engine
Ensemble ML demand forecasting — XGBoost, LightGBM, LSTM, Prophet — with automated bias correction and demand sensing.
35%
MAPE Reduction
6x
Faster Reforecast
22%
SS Savings
→ View Dashboard, Use Cases & Case Study
📦
Optimisation
Inventory Optimisation Engine
Dynamic safety stock using simulation, Bayesian methods, and multi-echelon modelling. Optimal buffers at any service level.
28%
SS Reduction
$3.2M
Capital Freed
98.5%
Service Level
→ View Dashboard, Use Cases & Case Study
📊
Platform
SC Intelligence Dashboard Suite
Real-time Power BI dashboards for 15+ KPIs — OTIF, fill rate, inventory turns, forecast accuracy — with SKU-level drill-down.
80%
Faster Reports
15+
KPIs Tracked
3 days
Decision Saved
→ View Dashboard, Use Cases & Case Study
🤖
Agentic AI
SC Agentic Copilot
Autonomous AI agent monitoring exceptions, generating corrective actions, and executing pre-approved responses automatically.
55%
Auto-Resolved
4x
Faster Response
40%
Time Freed
→ View Dashboard, Use Cases & Case Study
🚚
Logistics
Transport Routing Optimiser
VRP and multi-stop route optimisation with time windows, vehicle capacities, and multi-depot scenarios for daily dispatch.
12%
Cost Down
87%
Utilisation
$890K
Annual Savings
→ View Dashboard, Use Cases & Case Study
🛡️
Risk Intelligence
SC Risk Intelligence Monitor
Continuous supplier risk monitoring with geopolitical, financial, climate, and quality risk scoring. 14-day early warning system.
14 days
Early Warning
73%
Risks Anticipated
$1.8M
Loss Prevented
→ View Dashboard, Use Cases & Case Study
Programs

University & Corporate Programs

Structured AI and analytics programs for universities building future supply chain leaders, and corporates upskilling their planning teams.

University Partnerships

Supply Chain AI for Universities

Embed AI/ML into your supply chain curriculum. Guest lectures, capstone projects, lab sessions, and research collaborations — designed for MBA, engineering, and analytics programs.

  • Guest lecture series: AI in Supply Chain (4–12 sessions)
  • Capstone project mentorship with real industry data
  • Python + ML lab modules for supply chain students
  • Faculty development workshops on AI/ML tools
  • Research collaboration on forecasting and optimisation
  • Student internship pipeline to industry
  • CSCOP certification pathway for graduating students
MBA Programs B.Tech / M.Tech M.Sc Analytics Executive Education PhD Research
12+
Modules Available
96 hrs
CSCOP Program
100%
Industry-Led
Explore University Programs → View SC AI Program
Corporate Training

Enterprise AI Upskilling

Transform your planning team from Excel users to AI-powered analysts. Customised training on your data, your products, your supply chain challenges — from awareness to implementation.

  • Customised curriculum built on your company's data
  • Python for demand planning and safety stock optimisation
  • ML forecasting: XGBoost, Prophet, LSTM hands-on
  • Power BI dashboard design and deployment
  • Agentic AI and prompt engineering for SC applications
  • S&OP process design and FVA implementation
  • Post-training mentorship and project support (3 months)
Demand Planning Teams Procurement & Sourcing Warehouse & Logistics SC Managers & Directors C-Suite Briefings
56%
Salary Premium for AI Skills
8x
Avg Training ROI
416+
Hours Available
Explore Corporate Programs → View Training Programs
Optimisation Domains

Every Supply Chain Node, Optimised

Every solution we build is architected specifically for supply chain operations — with domain knowledge embedded at every layer of the model.

01 / 07
📦
Inventory Optimisation
Multi-echelon safety stock, ABC-XYZ segmentation, reorder point optimisation, slow-mover detection and DFR-based service level alignment across complex SKU portfolios.
Safety Stock ML
Multi-Echelon
ABC-XYZ
EOQ
02 / 07
🏭
Production Planning
ML-driven capacity planning, RCCP & CRP modelling, campaign sequencing for process industries, changeover minimisation and constraint-based MPS optimisation.
RCCP/CRP
MPS Opt.
OR-Tools
SimPy DES
03 / 07
🏢
Warehouse Optimisation
Slotting optimisation, pick path routing, labour productivity forecasting, dock scheduling, warehouse layout simulation and put-away logic — driven by discrete-event simulation.
Slotting AI
DES
Labor Forecast
VRP
04 / 07
🚚
Transport Optimisation
VRPTW, load optimisation, multi-modal network design, carrier performance analytics, freight cost modelling and real-time re-optimisation using Google OR-Tools.
VRPTW
Network Design
OR-Tools
Carrier AI
05 / 07
🛒
Procurement Optimisation
AI-driven sourcing analytics, NLP spend categorisation, supplier scorecards with risk-weighted KPIs, should-cost modelling and autonomous procurement bots.
Spend AI
NLP
Supplier MIP
Agentic AI
06 / 07
⚠️
Supply Chain Risk
Multi-tier supplier risk monitoring, Monte Carlo simulation for risk quantification, geopolitical risk scoring, disruption alerting and resilience scenario planning.
Monte Carlo
Risk Scoring
Markov Chains
VaR/CVaR
07 / 07
📋
S&OP Planning
End-to-end S&OP cycle digitisation — consensus forecasting, volume-to-value bridging, inventory deployment optimisation, scenario modelling and financial reconciliation.
Consensus FC
IBP
Scenario
Power BI
Why Mathnal

India's Only 100% Supply Chain
AI Specialist

We don't do general data science with a supply chain flavour. Every person, model and solution at Mathnal is built exclusively for supply chain intelligence.

🎯

Exclusive SC Focus

We work only on supply chain problems — delivering deeper domain knowledge, better feature engineering and faster time-to-value than general data science firms.

🧠

Frontier AI on Operations

We deploy the latest agentic AI and foundation forecasting models (TimeGPT, Chronos) specifically configured for SC — not generic LLM wrappers.

⚙️

Production-Grade MLOps

Models that work in notebooks don't equal production value. Our MLOps frameworks ensure every model we build is monitored, retrained and governed.

🔗

End-to-End Coverage

Inventory, production, warehouse, transport, procurement, risk and S&OP — we cover every domain, enabling true integrated SC intelligence.

📊

Decisions from Evidence

Our analytical philosophy is grounded in statistical rigour and operational reality. We recommend what the evidence tells us will work.

🎓

Knowledge Transfer by Design

Three training programs — SC AI Certification, SC ML Engineering and CSCOP — develop India's next generation of SC data scientists.

Technology

The Technology Stack We Deploy

30+ tools — all configured for supply chain contexts, not generic use cases.

🐍Analytics & Data Science
PythonSQLPandasNumPyPower BIPlotlyStreamlitSeaborn
📈Forecasting & Time Series
TimeGPTChronosNeuralForecastStatsForecastProphetARIMAXGBoostTFT/LSTM
🤖Agentic AI & LLMs
LangGraphAutoGenCrewAILangChainOpenAIClaude APIRAGVector DBs
⚙️Optimisation & OR
OR-ToolsPuLPPyomoSciPy Opt.SimPyMesaOptunaDEAP
🚀MLOps & Deployment
MLflowPrefectDockerFastAPIAirflowDVCEvidentlyGitHub CI
🗄️Data & Infrastructure
PostgreSQLSnowflakedbtSparkKafkaAWSAzureGCP
📚 Supply Chain Analytics Books

Master Supply Chain with Our E-Books

Comprehensive, hands-on e-books covering supply chain forecasting with Python and supply chain optimisation with Python — written by practitioners, for practitioners. Watch the previews below.

Preview
Forecasting with Python
Volume 1
Volume 1 · E-Book
Supply Chain Forecasting with Python — Volume 1
Master the foundations of demand forecasting using Python. Covers time series fundamentals, ARIMA, SARIMA, exponential smoothing, data preparation, feature engineering and model evaluation — with real supply chain datasets and hands-on Jupyter notebooks.
Python ARIMA Exponential Smoothing Time Series Pandas
$30 USD
Instant e-book delivery after payment
Preview
Forecasting with Python
Volume 2
Volume 2 · E-Book
Supply Chain Forecasting with Python — Volume 2
Advanced forecasting techniques — machine learning models (XGBoost, Random Forest, Ridge/Lasso), deep learning (LSTM, TFT), ensemble methods, uncertainty quantification, automation and deployment of production forecasting pipelines.
XGBoost LSTM Deep Learning ML Pipeline Automation
$55 USD
Advanced ML + Deep Learning forecasting
Preview
SC Optimisation
with Python — Vol 1
Volume 1 · E-Book
Supply Chain Optimisation with Python — Volume 1
Foundations of mathematical optimisation for supply chain — linear programming, mixed-integer programming, procurement optimisation, inventory models (EOQ, safety stock), and network design using PuLP and OR-Tools with industry case studies.
PuLP OR-Tools LP / MIP Inventory Procurement
$30 USD
LP, MIP, EOQ, safety stock, PuLP, OR-Tools
Preview
SC Optimisation
with Python — Vol 2
Volume 2 · E-Book
Supply Chain Optimisation with Python — Volume 2
Advanced optimisation — VRP & transport routing, network design, Monte Carlo risk simulation, metaheuristics (GA, SA, Tabu Search), ML-powered optimisation and capstone projects from Amazon, DHL, P&G and Maersk.
VRP Network Design Monte Carlo Metaheuristics Case Studies
$55 USD
VRP, network design, metaheuristics, AI
Payment Methods

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Newsletter

Mathnal Insights

Deep dives into supply chain strategy, AI/ML innovation, global trade disruption, and the economics of modern logistics — published by Mathnal Analytics.

Issue #1 Featured

Supply Chain Wins Wars — Not Just Battles

April 2026 · 8 min read

How the Strait of Hormuz closure brought the world to its knees, why $20,000 drones are bankrupting $4.5M missile systems, and what every supply chain leader must learn from 2026's defining geopolitical crisis.

95%
Hormuz Collapse
225:1
Cost Ratio
3.4B
People Impacted
Geopolitics Supply Chain Drone Warfare Economics
📰 Read Full Article →
Issue #2 Use Case

Bayesian Statistics for Stockout Optimisation

April 2026 · 12 min read

How conditional probability and Bayes' theorem — using just two signals (lead time >15 days and forecast error >30%) — can predict stockouts before they happen and tell you exactly which root cause to fix first.

5
SKUs Analysed
88.9%
Posterior Risk
2
Root Causes
Bayesian Statistics Inventory Forecasting Stockouts
📰 Read Full Article →
Issue #3 Strategic Outlook

10 Supply Chain Risks for 2026–2030 & Their Metric Impact

April 2026 · 15 min read

The definitive guide to the 10 risks supply chain leaders must prepare for — with a full 15-metric impact matrix showing how OTIF, fill rate, inventory turns, cash-to-cash, and 11 other KPIs degrade under disruption.

$184B
Annual Cost
15
KPIs Mapped
10
Risk Categories
Risk KPIs 2026–2030 Strategy
📰 Read Full Article →
Issue #4 Career Guide

The AI-Literate Supply Chain Professional

April 2026 · 14 min read

92 million jobs displaced. 170 million created. 39% of skills outdated by 2030. A data-backed survival playbook — which SC roles face the highest risk, what skills to build, and a 5-level roadmap to AI-proof your career.

92M
Jobs Displaced
170M
Jobs Created
39%
Skills Outdated
AI / ML Career Risk Skills Future of Work
📰 Read Full Article →
Issue #5 Technical Deep-Dive

Forecast Bias & Errors: The Complete Guide

April 2026 · 18 min read

12 error metrics with exact formulas — ME, MAE, MAPE, WMAPE, RMSE, sMAPE, Tracking Signal, CFE, MASE, FVA — plus how cumulative bias compounds through safety stock, procurement, production and finance, and 6 advanced correction methods.

12
Error Metrics
6
Advanced Methods
7
SC Areas Impacted
Forecasting Bias Detection ML Methods Safety Stock
📰 Read Full Article →
📬

More Insights Every Month

Supply chain strategy, AI/ML use cases, global trade intelligence, and metric deep-dives — published by Mathnal Analytics. Follow us on LinkedIn to get notified.

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Contact

Let's Build Your Supply Chain Intelligence

Tell us about your supply chain challenges or training goals. We respond within 24 hours.

Get in Touch

Whether you need consulting, technology implementation, training enrolment or just want to explore how AI can transform your supply chain — start with a conversation.

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GKS Pride, Block-1, Flat 317,
Balaji Nagar Road, Yapral,
Hyderabad, Telangana 500087
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