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What is InStoreView?

We help you realize your business ambitions by offering detailed sales and inventory data that equips your teams with the necessary insights. With organized access to comprehensive sales and stock information, you can easily evaluate your management performance in a matter of seconds, which facilitates prompt decision-making. This valuable information is readily available around the clock, every day of the week. Link your business opportunities to actionable measures for your field team while staying in constant communication with your replenishment personnel. Keep track of performance at the point of sale to effectively meet your business objectives. Initiating your journey with InStoreView is incredibly simple! Within just a week, you will gain access to a platform that integrates all your sales and inventory data, allowing for quick and seamless access, which empowers you to make well-informed decisions swiftly. The platform's user-friendly interface guarantees that your team can concentrate on what truly counts—achieving success and driving growth for your business. Additionally, the insights provided can help identify trends and opportunities that may otherwise go unnoticed, further enhancing your strategic planning.

What is 20:20 RDI Predictive Analytics?

Our team is comprised of talented data scientists and software engineers who work in close collaboration with professionals from the Consumer Packaged Goods (CPG) industry. Rather than simply being generalists, we have a thorough understanding of the intricate challenges that brands encounter in their dealings with retailers, which is reflected in the innovative solutions we deliver. Our insights are not only beneficial but also actionable across a range of business areas, such as field sales teams, key account managers, and customer marketing specialists. Acknowledging that selecting a solution provider is a crucial decision for any organization, we implement a concise 'Proof of Concept' phase that allows you to establish a strong business rationale for engaging with our experts. This initial phase is designed to be efficient, economical, and easy to implement, ensuring a smooth start to our collaboration. Within a few weeks, you will acquire a clearer understanding of the advantages that improved retail execution can provide, aiding in your planning and budgeting strategies. Furthermore, our dedication to harnessing big data and performing swift analyses guarantees that resources are allocated effectively, leading to substantial results for your business. With our expertise at your side, you will be well-equipped to navigate the complexities of the retail environment and make informed decisions that drive growth.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

InStoreView

Company Location

Chile

Company Website

www.instoreview.com

Company Facts

Organization Name

20:20 Retail Data Insight

Date Founded

2000

Company Location

United States

Company Website

www.2020rdi.com/solutions/

Categories and Features

Retail Management

CRM
Commission Management
Email Marketing
Employee Management
Loyalty Program
Mail Order
Merchandise Management
Multi-Location
Order Management
Purchase Order Management
Reporting/Analytics
Returns Management
eCommerce

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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