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Description

Planalytics utilizes sophisticated statistical techniques along with artificial intelligence (AI) and machine learning (ML) to analyze extensive sales data and leverage years of unparalleled expertise in retail demand forecasting, thereby enhancing accuracy. An important consideration for any retail organization is the fluctuating demand influenced by weather conditions. To address this, Planalytics offers tailored, localized demand modifications that accurately assess the consumer's interaction with weather patterns. Their analytics, which have been validated in real-world scenarios, are relied upon by retail companies operating across more than 75,000 locations. Retailers have the option to seamlessly incorporate Planalytics into their existing software and AI/ML frameworks as a quick-to-implement value-enhancing layer. This integration represents a swift method to unlock untapped potential from current demand forecasting systems, enabling businesses to reap the financial benefits associated with optimized inventory management, promotional strategies, advertising efforts, markdowns, and additional areas. By harnessing these advanced analytics, retailers can significantly improve their operational efficiency and responsiveness.

Description

For companies in the Consumer Packaged Goods (CPG) sector, trade spending typically ranks as the second highest cost, following the cost of goods sold. As consumer preferences and retail alliances evolve swiftly, these companies require enhanced capabilities to efficiently manage their trade promotion optimization efforts. The quest to optimize trade spending is complicated by various external elements, including fierce competition in the market, region-specific logistics, and compliance with regulations. Additionally, organizations encounter obstacles stemming from internal issues, such as fragmented data across multiple platforms (including ERP, POS systems, and syndicated data from sources like Nielsen), challenges in extracting insights from analyses conducted before and after promotions, and the common difficulties in fostering collaboration among teams in sales, marketing, finance, and demand planning. To tackle these challenges effectively, Wipro has developed its Promax® suite of solutions, which encompasses trade promotion management, optimization, and execution (TPM, TPO, and TPx), ensuring a comprehensive approach to trade spend management. By leveraging these solutions, CPG companies can navigate the complexities of trade spending with greater efficiency and effectiveness.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Datatron
Denodo
HPE Consumption Analytics
IBM Apptio
Logility
Mi9 Retail
PTC FlexPLM
Ubersmith

Integrations

Datatron
Denodo
HPE Consumption Analytics
IBM Apptio
Logility
Mi9 Retail
PTC FlexPLM
Ubersmith

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Planalytics

Founded

1996

Country

United States

Website

www.planalytics.com/planalytics-predictive-demand-analytics/

Vendor Details

Company Name

Wipro

Country

United States

Website

www.wipro.com/consumer-packaged-goods/wipro-promax/

Product Features

Predictive Analytics

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

Product Features

Trade Promotion Management

Analytics / ROI Tracking
Approval Workflow
Budgeting & Forecasting
Claims Management
Competitor Analysis
Compliance Management
Customer Management
Discount Management
Pricing Optimization
Promotion Calendar
Settlement Management
Trade Agreement Management

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