Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Our team comprises skilled data scientists and software developers who collaborate closely with experts from the Consumer Packaged Goods (CPG) sector. We pride ourselves on being more than just capable generalists; we possess a deep understanding of the complexities brands face in their often challenging relationships with retailers, which is clearly reflected in the solutions we provide. Our insights are not only informative but also actionable across various departments, including field sales, key account management, and customer marketing. Recognizing that choosing a solution provider is a significant decision for any business, we facilitate this process by offering a concise ‘Proof of Concept’ phase that helps you build a compelling business case for partnering with our experts. This straightforward next step is designed to be quick, cost-effective, and simple to deploy. Within just a few weeks, you will gain valuable insight into the potential benefits of enhancing your retail execution, which will support informed planning and budgeting decisions. By leveraging big data, we enable rapid analysis and efficient resource allocation, ultimately driving better outcomes for our clients. Additionally, we are committed to fostering long-term relationships that evolve alongside your business needs.
Description
Often carried out at a category level, a financial plan acts as a foundational reference and a basis for developing other strategic plans. This comprehensive plan incorporates the essential features needed to create a long-term budget as well as forecasts for sales, gross margin, inventory turnover, and other crucial key performance indicators (KPIs). Users have the capability to evaluate and approve figures at various management levels, thereby establishing financial objectives for the upcoming year or multiple seasons. This plan relies on a long-term demand forecast and leverages the insights generated by Retalon’s predictive analytics engine, which analyzes historical sales data, including factors such as lost sales, promotional activities, price adjustments, seasonality, and market trends, to assist users in planning future sales, inventory quantities, and receipts. Additionally, this module empowers users to determine optimal initial pre-allocation quantities while considering the specific needs of each location, plan-o-gram limitations, desired product assortments, inventory availability, and relevant business rules. Ultimately, this structured approach to financial planning streamlines the decision-making process and enhances overall organizational efficiency.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
20:20 Retail Data Insight
Founded
2000
Country
United States
Website
www.2020rdi.com/solutions/
Vendor Details
Company Name
Retalon
Founded
2002
Country
Canada
Website
retalon.com/solutions
Product Features
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Product Features
Automatic Replenishment Systems
Counting by Exception
No
Customer Management
No
Financial Management
No
Inventory Management
No
Nice Shelf Stocks
No
On-order Information
No
Sales Anticipation
No
Store Order Leveling
No
Zero Turnover Checks
No
Predictive Analytics
AI / Machine Learning
No
Benchmarking
No
Data Blending
No
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No