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AiM
Categories: Business & Sales, Data Analysis |
Pricing: Enterprise |
Official Website ↗
AiM helps FMCG brands make better commercial decisions by analyzing EPOS data to increase profit.
AiM's online predictive planning platform uniquely guarantees profit increases for FMCG brands by instantly turning EPOS data into precise, actionable predictive algorithms. The platform analyzes EPOS data using AI and advanced analytics to identify relationships and generate predictive algorithms. These algorithms provide solutions to various FMCG challenges, including how to fuel profitability and growth, whether to invest in brand or trade support, what terms to agree upon, and optimal pricing and promotion strategies. The system automates data analysis, allowing users to explore different scenarios and determine the best options for their commercial plans. It also automatically forecasts volumes as plans are adjusted. AiM's cloud-based advanced analytics and AI statistically measure brand strength, elasticities, and competitor impact, showing how to save or invest to maximize returns. The tool aims to make commercial planning easier, faster, more accurate, and more profitable.
Key Features
- Analyzes EPOS data
- Uses AI and advanced analytics
- Generates predictive algorithms
- Provides solutions for profitability and growth
- Offers guidance on brand vs. trade support investment
- Advises on terms to agree or not agree
- Suggests pricing and promotion plans
- Maximizes promotional effectiveness
- Measures brand strength and elasticities
- Forecasts volumes based on plan changes
Pros
- Guaranteed profit increase or no charge (for AiM OPTIMISER™)
- Provides precise solutions to FMCG problems
- Automates data crunching
- Offers scenario planning
- Trusted by leading consumer goods companies
Cons
- Pricing information is not available on the website.
- Specific integration details are not provided.
- No information on a free plan or trial.
- Limited information on platforms supported.
- No specific details on languages supported.
Use Cases
- Optimizing promotional effectiveness
- Improving commercial decision-making
- Increasing profit margins
- Strategic planning for brand and trade support
- Setting optimal pricing and promotions
- Forecasting sales volumes
- Analyzing brand strength and market elasticities
- Identifying areas for investment or cost savings
Best For
- FMCG brands
- Customer and Category Management professionals
- Trade Promotion Optimization professionals
- Shopper Insights professionals
- Revenue Growth Management professionals
Platforms: web
Watch demo on YouTube ↗
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