We have data on 22 companies that use Manhattan Slotting Optimization. The companies using Manhattan Slotting Optimization are most often found in United States and in the Retail industry. Manhattan Slotting Optimization is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Manhattan Slotting Optimization usage goes back as far as 5 years and 2 months.
|Company||O’Reilly Automotive Stores Inc|
|Company||VWR International, LLC|
|Company||Petco Animal Supplies|
|Company||Walgreens Boots Alliance, Inc.|
|O’Reilly Automotive Stores Inc||oreillyauto.com||United States||>1000M||>10000|
|VWR International, LLC||vwr.com||United States||>1000M||>10000|
|Petco Animal Supplies||petco.com||United States||>1000M||>10000|
|Walgreens Boots Alliance, Inc.||walgreensbootsalliance.com||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Inventory & Warehouse Management. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Inventory & Warehouse Management category, Manhattan Slotting Optimization has a market share of about 0.1%. Other major and competing products in this category include:
Manhattan Associates' warehouse slotting software is designed to scientifically determine the best picking profile for intelligent decisions.
Looking at Manhattan Slotting Optimization customers by industry, we find that Retail (39%), Food & Beverages (10%), Automotive (5%), Information Technology and Services (5%) and Wholesale (5%) are the largest segments.
73% of Manhattan Slotting Optimization customers are in United States, 6% are in Spain and 6% are in Canada.
Of all the customers that are using Manhattan Slotting Optimization, a majority (89%) are large (>1000 employees), 0% are small (<50 employees) and 2% are medium-sized.
Of all the customers that are using Manhattan Slotting Optimization, a majority (87%) are large (>$1000M), 0% are small (<$50M) and 0% are medium-sized.