10 Min For Supply Chain provides bite-sized insights into logistics, procurement, and supply chain management, with a mix of tutorials and explanatory content. The channel covers topics such as demand forecasting, warehouse optimization, P2P processes, and production planning, aiming at professionals and students. Content appears in short-form or tutorial-style videos, with an upload cadence suggesting frequent new uploads and an average of about 195 views per video across 247 published videos.
Similar Channels
We found 40 YouTube channels similar to 10 Min For Supply Chain
Shares a high search overlap on 'supply chain management' and 'logistics optimization', with content closely aligned to core SCM topics (83% match; 100% search, 71% content), indicating a similar audience and topic focus but slightly different presentation style.
Targets demand forecasting and inventory optimization, mirroring 10 Min For Supply Chain's emphasis on forecasting and SCM metrics (78% match; 66% search, 85% content), suggesting a comparable deep-dive into planning concepts for a similar audience.
supply chain managementprocure to paywarehouse management
Covers broad SCM topics including manage-to-procure and warehousing, aligning with 10 Min For Supply Chain on core subjects like supply chain management and warehousing (72% match; 59% search, 81% content), indicating overlapping practical guides.
Focuses on analytics, optimization, and tools for SCM (71% match; 52% search, 84% content), mirroring 10 Min For Supply Chain's emphasis on analytics-driven improvements for a similar audience.
Offers risk management, analytics, and simulation within SCM (69% match; 54% search, 79% content), appealing to viewers seeking theoretical and applied SCM insights like 10 Min For Supply Chain.
Provides coverage on supply chain management, demand forecasting, and production planning (69% match; 55% search, 79% content), aligning with planning and forecasting themes central to 10 Min For Supply Chain.
Content Landscape
Top competitors include Leaders Talk - ThinkEduca (83% match, 134K subscribers) and AbcSupplyChain (78% match, 26.2K subscribers). They share overlapping queries with 10 Min For Supply Chain such as supply chain management, logistics optimization, and inventory or demand forecasting. Supply Chain Secrets (72% match, 89.8K subscribers) and Supply Science (71% match, 24.6K subscribers) also compete on topics like warehouse management, supply chain analytics, and optimization. MIT Center for Transportation & Logistics (69% match, 25.6K subscribers) appears in risk management and analytics/search-related queries. 10 Min For Supply Chain has substantially fewer subscribers than its top competitors, reflecting a smaller channel size despite overlapping content areas.
Which YouTube channels are most similar to 10 Min For Supply Chain?
Leaders Talk - ThinkEduca (83% match, 134K subscribers), AbcSupplyChain (78% match, 26.2K subscribers), Supply Chain Secrets (72% match, 89.8K subscribers). All three channels focus on supply chain topics, with content that includes management concepts, case studies, and practical insights for professionals.
What type of content does 10 Min For Supply Chain make?
10 Min For Supply Chain creates short-form, tutorial-style videos about supply chain topics, including data visualization, forecasting, Monte Carlo simulations, and warehouse cost optimization. The channel has an average of about 195 views per video, with recent uploads featuring titles such as Welcome to 10 Min For Supply Chain, Create Your Supply Chain Network with Data, Random Forest Algorithm Tutorial, Monte Carlo Simulation for Supply Chain, and Warehouse Costs Calculation; posting frequency is implied by the note 'average: 195 views/video, ~? uploads/week'.
How do we determine which channels are similar to 10 Min For Supply Chain?
We analyze 10 Min For Supply Chain's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.
