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Average Ratings 0 Ratings

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ease 0 out of 5 stars
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support 0 out of 5 stars

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Description

PySpark serves as the Python interface for Apache Spark, enabling the development of Spark applications through Python APIs and offering an interactive shell for data analysis in a distributed setting. In addition to facilitating Python-based development, PySpark encompasses a wide range of Spark functionalities, including Spark SQL, DataFrame support, Streaming capabilities, MLlib for machine learning, and the core features of Spark itself. Spark SQL, a dedicated module within Spark, specializes in structured data processing and introduces a programming abstraction known as DataFrame, functioning also as a distributed SQL query engine. Leveraging the capabilities of Spark, the streaming component allows for the execution of advanced interactive and analytical applications that can process both real-time and historical data, while maintaining the inherent advantages of Spark, such as user-friendliness and robust fault tolerance. Furthermore, PySpark's integration with these features empowers users to handle complex data operations efficiently across various datasets.

Description

Spark Inventory serves as a comprehensive inventory management solution specifically designed for businesses that sell products across multiple channels, leveraging advanced AI capabilities for demand forecasting and purchasing. It thoroughly examines sales data from platforms like Shopify, Amazon, WooCommerce, and Square to provide accurate demand predictions by SKU, taking into account seasonal trends while also enabling comparisons between forecasts, current stock levels, incoming orders, and supplier delivery timelines. When inventory levels drop, Spark suggests optimal reorder quantities and prepares purchase orders for user approval. Additionally, the software efficiently manages inventory across various warehouses and bins, facilitating transfers, cycle counts, quotes, sales orders, invoices, returns, and manufacturing processes, which include managing bills of materials alongside wholesale and supplier portals. Its mobile application enhances functionality by allowing users to handle receiving, picking, packing, and inventory counting tasks on the go. Spark Inventory seamlessly integrates with accounting platforms like QuickBooks Online and Xero and enhances operational workflows through the support of AI assistants, including Claude and ChatGPT. For those just starting, there is a free plan available that accommodates a single user. This accessibility makes it a great option for small businesses looking to streamline their inventory management processes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon SageMaker Data Wrangler Yes 
Amazon Seller Central No 
Apache Spark Yes 
ChatGPT No 
Claude No 
Claude Duet No 
Claude for Legal No 
Comet LLM Yes 
Etsy No 
Faire No 
Fosfor Decision Cloud Yes 
Gmail No 
QuickBooks Online No 
ShipStation No 
Shopify No 
Tecton Yes 
Union Pandera Yes 
WooCommerce No 
Xero No 
Zoho Books No 

Integrations

Amazon SageMaker Data Wrangler No 
Amazon Seller Central Yes 
Apache Spark No 
ChatGPT Yes 
Claude Yes 
Claude Duet Yes 
Claude for Legal Yes 
Comet LLM No 
Etsy Yes 
Faire Yes 
Fosfor Decision Cloud No 
Gmail Yes 
QuickBooks Online Yes 
ShipStation Yes 
Shopify Yes 
Tecton No 
Union Pandera No 
WooCommerce Yes 
Xero Yes 
Zoho Books Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$99/month
Free provides one user with monthly forecasting. Solo is $99/month for 2,500 orders; Operate is $349/month for 10,000 orders; Scale is $749/month for 25,000 orders. Paid plans include unlimited users and a 14-day free trial. Paid-plan capacity beyond the included allowance is $49 per 2,500 orders. Custom 3PL pricing is negotiated. One-time services include historical data migration for $500–$1,500, price-book implementation for $1,500–$2,500, and 3PL client onboarding at $250 per client.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

PySpark

Website

spark.apache.org/docs/latest/api/python/

Vendor Details

Company Name

Spark Inventory

Founded

2024

Country

United States

Website

sparkinventory.com

Product Features

Application Development

Access Controls/Permissions No 
Code Assistance No 
Code Refactoring No 
Collaboration Tools No 
Compatibility Testing No 
Data Modeling No 
Debugging No 
Deployment Management No 
Graphical User Interface No 
Mobile Development No 
No-Code No 
Reporting/Analytics No 
Software Development No 
Source Control No 
Testing Management No 
Version Control No 
Web App Development No 

Product Features

Inventory Management

Alerts/Notifications Yes 
Barcoding / RFID No 
Forecasting Yes 
Inventory Optimization Yes 
Kitting Yes 
Manufacturing Inventory Management Yes 
Mobile Access Yes 
Multi-Channel Management Yes 
Product Identification Yes 
Reorder Management Yes 
Reporting/Analytics Yes 
Retail Inventory Management Yes 
Supplier Management Yes 
Warehouse Management Yes 

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