2014 Raymond 550-OPC30TT WG

Enhance your warehouse operations with the 2014 Raymond 550-OpC30TT Order Picker. This electric order picker features advanced wire guidance technology, ensuring precise navigation and increased efficiency in narrow aisles. With a robust 3000 lbs capacity and a three-stage mast, it offers exceptional reach and stability. The ergonomic design and 24-volt system provide operators with comfort and reliability for extended use. Ideal for high-density storage environments, this order picker is a valuable asset for any modern warehouse.

SPEC SHEET

• General SpecificationsModel: 550-OPC30TT WG
• Type: Order Picker
• Manufacturer: Raymond
• CapacityLoad Capacity: 3,000 lbs
• PerformanceLift Speed: 40 feet per minute (loaded)
• Lower Speed: 55 feet per minute (loaded)
• Travel Speed: 6.5 miles per hour
• DimensionsTruck Length: 122 inches
• Truck Width: 42 inches
• Truck Height: 92 inches
• Fork Length: 42 inches
• Power SourceBattery Type: 24-volt battery
• Charger: Built-in automatic charger
• Operator FeaturesPlatform Type: Stand-up
• Operator Controls: Multi-function control handle
• Safety FeaturesEmergency Power Disconnect: Yes
• Anti-slip Floor: Yes
• Horn: Integrated horn system
• Environmental ConditionsOperating Temperature Range: 32°F to 104°F

Disclaimer: Please note that the pricing estimates provided are for informational purposes only and are not guaranteed to be accurate. Prices can vary based on multiple factors and individual circumstances. We recommend that sellers conduct their own research and use discretion when considering the price estimates. How do we determine the current market condition of a new or used forklift? Pricing information is collected from the internet using a combination of web scraping, data mining, and machine learning algorithms. Here's a simplified breakdown of how it works:

• Web Scraping: Tools visit various websites (like material handling dealership sites, classified ads, and auction sites) to extract relevant data, such as prices, specifications, and availability.
• Data Aggregation: The collected data is aggregated and organized into a structured format, making it easier to analyze.
• Machine Learning Algorithms: These algorithms analyze the aggregated data to identify patterns, trends, and correlations. They can adjust for factors like location, condition, and hour meter readings.
• Predictive Analytics: Using historical data and current market trends, the system predicts the average price range for specific items, such as new/used forklifts.
• Real-Time Updates: Systems continuously update their databases with new information to ensure the most accurate and current pricing estimates.