A self-paced certification for planners, buyers, plant, warehouse, logistics, quality and service teams. You use AI on forecasting, inventory, suppliers, flow and quality, and you check every answer against the data. AI drafts, forecasts, flags and recommends; a named person approves every change to a plan, a purchase order or a customer promise.
Bodhih Applied AI: Operations and Supply Chain is a self-paced practitioner certification for planners, buyers, plant, warehouse, logistics and service professionals. In about 16 hours you learn to use AI tools on real operations work: forecasting and S&OP, inventory policy, sourcing and supplier risk, OTIF and OEE, SOPs and root cause, and operations agents. You practise in graded labs and simulations on one fictional manufacturer’s data, check every AI output against the numbers, and finish with an AI-enabled improvement on your own operation.
Facts on this page last checked by Siddharthan VGJ, Director, Bodhih Training.
Sales adds its festive uplift, the AI writes a confident commentary, and the plan goes to S&OP. Nobody measures whether the adjustment made the forecast better or worse, so the same bias comes back every season.
A lower safety stock looks good on the working-capital slide. Whether it holds for a long-lead-time import or a lumpy item depends on assumptions the tool never shows you, and the stock-out lands on your desk.
The weekly update blamed the wrong cause. The SOP skipped a safety step and quoted an old standard. It read well, so it nearly went to the COO before anyone checked it against the data.
You own the forecast and the consensus process. You will measure accuracy, bias and forecast value added, and bring scenario ranges with stated assumptions to the S&OP meeting.
You compare bids, chase suppliers and sign purchase orders. You will use AI for spend analysis, RFQs and supplier monitoring, and keep approval limits, due diligence and call-back checks in place.
You run lines, DCs, carriers, quality releases or spares. The operations lens switches the examples and at-work plans to planning, buying, making, moving, storing or service.
You judge vendor claims and agent proposals. Modules 1 and 7 and the capstone cover what to let an agent do, how to govern it and how to prove its value net of checking time.
This is not ASCM CSCP, CPIM or CPSM exam preparation, and it does not teach Python, machine-learning model building or a specific ERP or planning suite; if you need any of those, choose a course built for them.
Four dated figures, each linked to its source. Survey figures describe what leaders report or expect, not outcomes at your company.
Nearly half of supply chains (47%) reduced headcount by an average of 10.5% over the past two years, primarily due to AI; 66% of leaders said the cuts were concentrated at entry level.
Gartner survey of 303 supply chain leaders, as reported by IT Supply Chain, 28 October 2026Of supply chain leaders expect agentic AI to reduce the need to hire for entry-level positions, and 86% agree it will require new processes for developing future talent (an expectation, not an outcome).
Gartner press release (survey of 509 supply chain leaders), 25 February 2026Of senior supply chain leaders say they lack enough internal talent to implement and manage AI.
Gartner survey of 140 senior supply chain leaders, as reported by Supply Chain 24/7, Late 2025 (survey)In the M5 forecasting competition on 42,840 Walmart series, the winning machine-learning method was 22.4% more accurate than the best benchmark, and all winners used prices, promotions and events (retail data; not a promise for any other company).
Makridakis, Spiliotis and Assimakopoulos, International Journal of Forecasting, 2022Most AI for supply chain courses teach prompting with no operations maths; most supply chain certifications teach the maths with no AI. This course joins them, so you check what an AI recommends with the same formulas planners use. Imagine walking into the next S&OP meeting knowing which adjustments added value and which did not.
Give an approved AI tool the site, item, period, units and definitions it needs, and check its numbers, causes and claims before they reach your manager.
Measure forecast accuracy and bias, find the adjustments that destroy value, and bring scenario ranges to S&OP.
Segment items ABC/XYZ and set safety stock, reorder points and order quantities from service targets, then test any AI inventory recommendation against its assumptions.
Use AI for spend analysis, RFQs, bid comparison and supplier monitoring, while stopping bank-change fraud and split orders.
Measure OTIF and OEE with clear definitions and find the real cause of late orders and lost output before acting.
Draft SOPs and root-cause reports with AI and release them only after a safety and evidence check.
Set the right permissions, approval points and logs for an operations agent, and prove its value net of checking time.
A capstone on a real problem you own, with a baseline, an AI workflow, controls and at least two weeks of pilot results or a backtest.
The pathway runs in order: a baseline assessment, seven modules with short booster questions two and seven days after each, the capstone on your own operation, then the final assessment, which opens once the capstone is accepted. Every module follows one case, Corvane Appliances, a fictional kitchen-appliance maker with plants at Chakan and Hosur and distribution centres at Bhiwandi, Hoskote and Jebel Ali. As you read the module list, notice which pattern you have already met in your own operation.
Measured before you start and again on the same instrument at the end, so the change is recorded rather than claimed.
The baseline assessment, Form A: 20 scenario and calculation questions on all seven competencies, about 25 minutes. It is not pass/fail; it sets your baseline, and you take the parallel form at the end.
Which operations tasks suit AI, how to brief it with site, item, period, units and definitions, and how to check every number and cause. Inspector: an AI-drafted Week 44 operations update.
Forecast accuracy and bias, demand versus shipments, forecast value added and scenario plans for S&OP. Data Lab: Forecast accuracy bench, then the Scenario Sim The festive S&OP meeting.
ABC/XYZ segmentation, service-based safety stock, reorder points and EOQ, and how to test an AI inventory recommendation. Data Lab: Corvane inventory policy bench.
Spend analysis, RFQs and total cost of ownership with AI, supplier performance and risk, and the controls that stop supplier fraud. Scenario Sim: Supplier disruption war-room.
OTIF and OEE with clear definitions, Little's Law and the bottleneck, and the true cause of service misses. Data Lab: Hoskote and Chakan, October.
Drafting SOPs and root-cause reports with AI and checking them before release, and containment versus corrective action. Inspector: an AI-drafted SOP and an AI-drafted root-cause report.
Operations agents and workflows with least-privilege permissions, approval points, idempotent steps, logs, an AI register entry and value net of checking. Flight Deck mission: Order Exception Desk at Hoskote.
Choose one real operations problem you own or influence, such as forecast bias on a product family, stock-outs or excess stock, a failing supplier, late orders, OEE losses, a recurring quality defect or slow exception handling. Improve it with an approved AI tool and show the result. Hand in one PDF of up to 8 pages, plus a spreadsheet or screenshots, in five parts: (1) the problem and baseline, with the metric defined; (2) the data and analysis, with one total reconciled to your system; (3) the AI workflow, with a log of at least 5 AI outputs and how you checked each one; (4) the controls and governance, including who approves what and what the AI must never do; (5) at least two weeks of pilot results, or a backtest, with time saved net of checking and your keep, change or stop decision. Remove personal data and supplier prices first, and never paste red data into an unapproved tool. If you cannot use work data, use the Corvane capstone pack and pick one option: the Air Fryer forecast and inventory policy, motor supply risk and OTIF recovery, or the Hoskote order-exception workflow. A reviewer scores your work on five criteria (0-4 each). Met is 12 or more of 20 with every criterion at 2 or more. Feedback comes within 5 working days, and you may resubmit once.
The final assessment, loaded from Form B: 20 parallel scenario and calculation questions, about 25 minutes. Score 70% or more (3 attempts), with your capstone accepted, for the credential.
Finishing this pathway issues a credential backed by the evidence you produced along the way. It is verifiable by link and is also issued as an Open Badge 2.0, so an employer can check it without taking your word for it.
The AI drafts the monthly forecast commentary; you check it against accuracy and bias, drop the adjustments that do not add value, and practise the call in the festive S&OP meeting sim.
The AI compares RFQ responses on total cost and drafts the supplier email; you remove confidential prices and verify any bank-detail change by call-back, as in the supplier disruption war-room.
The AI summarises a month of downtime notes into OEE losses; you confirm the biggest loss in the log before planning a changeover fix.
An exception agent triages late order lines during a peak; it may propose transfers and new promise dates, but a person approves them, as you practise in the Order Exception Desk mission.
The AI drafts the customer update for a port delay; you confirm dates with the carrier before anything is promised.
The AI classifies spare parts by value and variability and proposes reorder points; you check intermittent items before changing policy.
What comes with the course, and what makes the practice different.
The forecast accuracy bench (MAPE, WMAPE, bias and forecast value added), the Corvane inventory policy bench (ABC/XYZ, safety stock, reorder points and EOQ) and Hoskote and Chakan, October (OTIF, OEE and Little’s Law), with Excel-style formulas and PivotTables inside the course.
The festive S&OP meeting and the supplier disruption war-room; the Output Inspector on Corvane’s Week 44 operations update and the Operations Inspector on an AI-drafted SOP and root-cause report; and the Order Exception Desk mission at Hoskote, where you set up and supervise an order-exception agent.
The Inventory and Warehouse Control Kit, The Purchasing and Vendor Management System, The Quality Management Starter System, Run It Like a System and The AI-Fluent Professional.
Choose planning, procurement, manufacturing, logistics, warehouse, after-sales service or any operation, and the lens-driven exercises and at-work plans follow your work.
Company seats with reporting on each learner’s progress and before-and-after scores.
Ask about team seats| What is compared | A typical AI for supply chain course | AI for Supply Chain at Bodhih |
|---|---|---|
| Operations maths | Rarely taught; the focus is prompting and use cases. | Forecast accuracy and bias, forecast value added, safety stock, EOQ, OTIF, OEE and Little’s Law, graded in three Data Labs. |
| Checking AI output | Output is judged on how it reads. | The core of every module: Inspector labs on an AI operations update, an AI SOP and an AI root-cause report. |
| Practising decisions | Videos and a quiz. | Two Scenario Sims (the festive S&OP meeting; the supplier disruption war-room) and an Agent Flight Deck mission. |
| Controls | A separate ethics unit, if any. | Bank-change fraud, split purchase orders, new-supplier due diligence, AI data rules and agent permissions, taught where the work happens. |
| Case data | Unrelated toy examples in each lesson. | One fictional manufacturer, Corvane Appliances, with the same SKUs, plants, DCs and suppliers in all seven modules. |
| Proof of skill | A completion certificate. | A baseline and a final on parallel forms, and a capstone on your own operation graded on a five-criterion rubric. |
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Straight answers on time, price, tools and the credential. If yours is not here, ask us and you will have a reply the same working day.
Yes. Bodhih Applied AI: Operations and Supply Chain, known as the AI for Supply Chain course, is a self-paced online certification from Bodhih Training Solutions, Bengaluru. It covers forecasting and S&OP, inventory policy, sourcing and supplier risk, OTIF and OEE, SOPs and root cause, and operations agents in seven modules, with graded labs, simulations and a capstone on your own operation.
No. You use spreadsheets and AI assistants, and the labs run in the browser with no software, licence or AI cost. You should be comfortable with basic spreadsheet work such as SUM, filters and simple formulas, because the course has you calculate forecast accuracy, safety stock, OTIF and OEE yourself.
Any your organisation approves, for example Copilot, ChatGPT, Gemini or Claude. The course is tool-agnostic, and the skills apply to the AI features in planning and ERP tools too: check your own vendor’s current features. Every course exercise uses fictional data, so no company data is needed to learn.
No. The course is not preparation for ASCM’s CSCP or CPIM, ISM’s CPSM or any CIPS qualification, and it is not endorsed by ASCM, CIPS or ISM. Those programmes cover a body of knowledge for an exam; this course is about using and checking AI tools on daily operations work. It can sit alongside one of them, as a complement rather than a substitute.
About 16 hours: seven modules of 75 to 85 minutes, a 25-minute baseline, a capstone of about five hours and a 30-minute final. It is self-paced, and most people take about 7 weeks at a couple of hours a week, with booster questions two and seven days after each module.
An AI-enabled improvement on your own operation: the problem and baseline metric, the data and analysis, the AI workflow with a log of at least five checked AI outputs, the controls, and at least two weeks of pilot results. If you cannot use work data, you use the Corvane capstone pack and a backtest on its history. A reviewer grades it on a five-criterion rubric.
You receive Bodhih Applied AI: Operations and Supply Chain: Practitioner once the capstone is accepted and you pass the 20-question final (70% to pass, three attempts). It is issued as an Open Badge 2.0 with a verify page and a PDF showing your baseline and final scores. It is a Bodhih credential, not a professional-body or university qualification.
All of them: demand planning and S&OP, inventory, procurement and supplier risk, logistics and warehouse flow, production and OEE, quality and SOPs, and after-sales service through the operations lens. The lens switches the course’s examples and at-work plans to your part of operations.
Yes. Modules 1 and 7 and the capstone cover judging AI proposals and vendor claims, what to let an operations agent do, the approval points and logs it needs, and how to measure its value net of checking time. The labs also show managers what to ask their teams.
Yes. Companies buy seats at $159 per seat, with company reporting of progress and before-and-after scores, and the operations lens lets one course serve planning, procurement, plants, warehouses, logistics and service. To arrange seats for a team, talk to us at solutions@bodhih.com or +91 99000 11601.
It reflects November 2026: agentic AI in supply chains, decision governance for AI-enabled decisions, ISO 9001:2026 (published 16 September 2026) and the EU AI Act timelines that apply to workplace AI. Legal and standards points are taught at principle level and are not legal advice.
The first stage is a 20-question baseline; the final, on a parallel form, shows the change on your credential. The AI for Supply Chain course is $199, with five Pro Kits included, and you can start today with the baseline.
Starting records where you stand today. That baseline is what the re-measurement is compared against, and it is never rewritten afterwards.
Reconciliations, close, forecasts, MIS and audit support with AI, with every number tied out and a person signing off.
Set up, supervise and test AI agents without code, in the hands-on Agent Flight Deck lab.
Turn business questions into answers you can trust with Excel, Power BI and AI assistants, practised in the browser-based Data Lab.
Measure your team first, plan each person’s growth after, or bring a trainer or coach in. Bodhih’s sister companies cover the rest of the journey.