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Average Ratings 0 Ratings

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features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

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 

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