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What is Syrup?

Syrup delivers AI-powered insights for planning and inventory distribution, specifically designed for the fashion and apparel sector. By focusing on the goal of reducing waste, Syrup’s smart recommendation system empowers brands to optimize their full-price sales while efficiently cutting down on excess inventory. The influence of your past sales data is greatly improved by integrating real-time transactions and contemporary events. Any pertinent data source that offers useful insights can be easily incorporated into Syrup’s platform. Complex data analysis is managed by sophisticated algorithms, enabling our advanced machine learning models to forecast seasonal trends with greater precision. Just as a master tailor appreciates the uniqueness of every piece, Syrup’s algorithms are tailored to address the specific needs of each brand, providing the adaptability to respond to changing conditions. Accelerate your decision-making with Syrup’s immediate recommendations regarding inventory allocation, replenishment, rebalancing, and reorder strategies. Furthermore, Syrup assists in recovering missed revenue opportunities by boosting the sell-through rate of full-priced products. Make swift and informed inventory planning decisions with the help of automated suggestions, ensuring your brand stays competitive and agile in a rapidly evolving market. This cutting-edge methodology not only enhances operational efficiency but also promotes sustainable practices within the fashion industry, paving the way for a greener future. As a result, brands can not only thrive but also contribute positively to the environment while meeting consumer demands.

What is AWS Supply Chain?

Mitigate the dangers associated with excessive or insufficient inventory levels to boost customer satisfaction while reducing costs linked to surplus stock. Achieve real-time clarity within your supply chain without the need for platform changes, upfront payments, or lengthy contracts. Harness machine learning (ML) to enhance decision-making in your supply chain through actionable insights. Evaluate the overall health of your supply chain network and receive insights driven by ML that pinpoint potential inventory issues such as overstock situations or shortages. Quickly set up AWS Supply Chain by utilizing ML models that can interpret, extract, and transform diverse data into a unified data lake. Explore recommended strategies that can mitigate risks, along with integrated collaboration tools that facilitate faster consensus and decision-making. Generate more accurate demand forecasts to reduce shortages and improve demand planning accuracy with ML models that adapt and refine over time for superior results. By tackling these inventory-related challenges, organizations can not only optimize their operations but also build stronger connections with their clientele, ultimately leading to enhanced business performance.

Media

Media

Integrations Supported

Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Microsoft Dynamics 365
NetSuite
NewStore
SAP Cloud Platform
Salesforce
Shopify
Snowflake

Integrations Supported

Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Microsoft Dynamics 365
NetSuite
NewStore
SAP Cloud Platform
Salesforce
Shopify
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Syrup

Company Website

syrup.tech/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/aws-supply-chain/

Categories and Features

Inventory Management

Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management

Categories and Features

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

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