Excess stock ties up capital; stockouts lose sales. This ten-day course teaches inventory and supply chain professionals to apply demand forecasting, safety stock modelling and ABC analysis so inventory decisions rest on data rather than habit or gut feel.
Inventory decisions are ultimately forecasting decisions, and this course treats them as such, working through time-series forecasting methods, seasonality handling and demand variability analysis using realistic sales and stock movement data. Participants learn to distinguish genuine demand signals from noise before committing to reorder points.
The second half applies those forecasts to inventory optimisation directly: safety stock calculations, ABC/XYZ classification, and reorder point modelling, closing with dashboard design so planners can monitor stock health without rebuilding the analysis every cycle.
By the end of this course, participants will be able to:
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This course is designed for professionals responsible for inventory and demand planning, including:
A Certificate of Completion from Vision Reach Global Consultancy is issued to participants who complete the course. The fee includes forecasting software access, sample supply chain datasets, course materials, refreshments and certificate processing. Facilitators bring practical inventory and demand planning experience.
Everything you need to know about this course before you register.
By the end of the Data Analytics for Inventory Management and Demand Forecasting programme, you'll be able to apply time-series forecasting methods to demand data, account for seasonality and trend in demand forecasts, classify inventory using abc and xyz analysis, and calculate safety stock and reorder points using demand variability. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is designed for professionals responsible for inventory and demand planning, including: Inventory and stock control managers, Supply chain and demand planners, Procurement and warehouse managers, Retail and distribution analysts, and Operations managers overseeing stock decisions.
Data Analytics for Inventory Management and Demand Forecasting typically runs as 10 Days. It's available as in-person classroom training — every course can also be delivered on-site for your team on dates that suit you.
Data Analytics for Inventory Management and Demand Forecasting is scheduled in-classroom in Mombasa, Kenya, Naivasha, Kenya, Nairobi, Kenya, and Kisumu, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
Data Analytics for Inventory Management and Demand Forecasting runs on a rolling cohort basis, so a new intake is always coming up. Pick your preferred format and location in the schedule panel above, then click "Register for the Course" to reserve your seat — confirmation follows once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a CPD-accredited Certificate of Completion for Data Analytics for Inventory Management and Demand Forecasting from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Data Analytics for Inventory Management and Demand Forecasting is pitched at intermediate professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Data Analytics for Inventory Management and Demand Forecasting vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Data Analytics for Inventory Management and Demand Forecasting can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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