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Strategizing and Managing for Optimum Profitable Growth – the everlasting Challenge
In today’s dynamic market, achieving sustainable, profitable growth is a critical challenge for B2B corporations.
C-level executives are constantly seeking ways to optimize strategy and execution to drive revenue, profitability, and enterprise value growth. However, resources are often limited, and navigating market turbulence can make it difficult to achieve optimal results.
aiProfit B2B – the Solution
Struggling to achieve sustainable, profitable growth?
Imagine having a digital assistant continuously optimizes for profitable growth across strategy, management and execution.
aiProfit B2B, the AI-powered optimum profitable growth strategy & management system for B2B corporations, is the solution.
aiProfit B2B – the Areas of Application
aiProfit B2B areas of application are:
- Profitable growth strategy, management & execution
effective across all organizational levels, including corporate, business unit, and regional. - Corporate strategy, management & execution
used at corporate and enterprise levels - Profit & sales pipeline strategy, management & execution
this is real profit & sales pipeline management under uncertainty, typically used by marketing and sales divisions, often in combination with pricing management - Profit & pricing strategy, management & execution
typically used by marketing and sales divisions, often in combination with profit & sales pipeline management - Profit & business process strategy, management & execution
for any kind of business process and organization
aiProfit B2B – the Deployment Options
aiProfit B2B deployment options are:
- Web App
- Jupyter Notebook
- On-Premise
aiProfit B2B – the Interfaces
aiProfit B2B interfaces with enterprise IT systems and with functional IT systems, typically:
- ERP
- CRM
- BI
- etc.
from which it imports
- master data and
- transaction data
and to which it exports profitable growth
- descriptive data
- diagnostic data
- predictive data
- prescriptive data
via 24/7 file exchange.
aiProfit B2B – the Engine
For profitable growth optimization aiProfit B2B uses Strategy B2B’s proprietary Python 3.10 based AI-engine
- Profitable Growth OptimAIzer (ProOptimAIzer)
which belongs to the class of reinforcement learning under uncertainty and multivariate genetic algorithms powered prescriptive analytics solutions.
aiProfit B2B is not based on mainstream generative AI / large language models (e.g. LLMs as ChatGPT, Gemini etc.).
aiProfit B2B for Profitable Growth Optimization
aiProfit B2B determines optimal sets of next best actions for achieving profitable growth according to growth targets
- deal by deal
- sales rep by sales rep
- channel by channel
- customer by customer
- product by product
- 24/7
The Profitable Growth next best actions are for output to configurable dashboards and scorecards. aiProfit B2B builds optimal profit & sales pipelines, resulting in on-plan order entry and profit.
aiProfit B2B uses highly effective methods of artificial intelligence and machine learning, such as
- Supervised Learning
- Unsupervised Learning and
- Reinforcement Learning
aiProfit B2B typically runs productively with corporate IT systems after a few weeks.
aiProfit B2B for Profitable Growth Analysis and Forecasts
For the profitable growth analysis and forecasts aiProfit B2B uses the proprietary app
- Profitable Growth Analyzer (ProAnalyzer)
ProAnalyzer imports the master and transaction data from your company’s ERP, CRM and BI systems, harmonizes their data quality and performs the analyses and forecasts relevant to Optimal Profitable Growth in available perspectives such as
- Market-to-Order (M2O) : segments, customers, deals, ,arketing, pricing, sales pipeline, sales force
- Order-to-Cash (O2C) : assets, processes, operations
- Purchase-to-Pay (P2P) : suppliers, purchased items
- Idea-to Market (I2M) : innovation, products
- Cash-to-Profit (C2P) : finance, cash flows, income stmt, balance sheeet, onvestments, risk
- Soft Skills & Intelligence : HR, management, IT
- Organization : corporate, business unit, profit center etc.
Multivariate methods from Diagnostic Analytics and Predicitve Analytics are used to diagnose and predict variables and metrics / KPIs that depict profitable growth.
Analysis and forecast reports can be generated on demand or automatically and in various formats (from SQL to PPT, etc.).
It is an optional, nevertheless good practice to mirror the results of the quantitative analysis against a qualitative, interview-based analysis.
aiProfit B2B – flyer
Download an aiProfit B2B flyer here : aiProfit B2B flyer