- TipSeason AI Trends
- Posts
- Californians Say AI Is Moving ‘Too Fast’
Californians Say AI Is Moving ‘Too Fast’
Nano-Banana captivates users as potential Photoshop alternative
Welcome to TipSeason Trending AI Newsletter.
In today’s edition, we will cover:
Trending AI News
Trending AI Tools
Best AI Prompt pick for ChatGPT / Gemini / any AI
Also welcome to the new subscribers who joined us this week and staying on top of AI Trends.
Trending AI News:
Californians Say AI Is Moving ‘Too Fast’ Link
Nano-Banana captivates users as potential Photoshop alternative in Korea Link
Silicon Valley Needs to Stop Obsessing Over Superhuman A.I. Link
The Hidden Costs of Coding With Generative AI Link
Excel + AI: Microsoft brings new ‘COPILOT’ function directly into spreadsheet cells Link
OpenAI rolls out cheapest ChatGPT plan at $4.6 in India to chase growth Link
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Best AI Prompt Pick:
For ChatGPT, Bard, Claude and other AI chatbots:
Topic: AI for Supply Chain Forecasting & Logistics Optimization
Prompt:
Your goal is to provide expert-level, highly structured, and actionable outputs on supply chain forecasting and logistics optimization. The response must be tailored using the following variables:
- [Industry Focus] = (define the industry, e.g., retail, automotive, pharmaceuticals, e-commerce)
- [Forecasting Objective] = (set the forecasting goal, e.g., demand forecasting, inventory optimization, route efficiency)
- [Optimization Horizon] = (specify the planning scope, e.g., short-term weekly scheduling, medium-term quarterly planning, long-term strategic optimization)
**Context & Expertise Layering:**
Frame the response with deep knowledge of forecasting and logistics. Integrate demand planning models (ARIMA, exponential smoothing, ML-based predictions), inventory optimization methods (EOQ, safety stock, JIT), routing strategies (VRP, simulation modeling), and KPIs (MAPE, OTIF, logistics cost % of sales). Incorporate frameworks like SCOR, APICS standards, and Gartner best practices.
**Structured Output Format:**
1. Introduction – Key principles of supply chain forecasting & logistics optimization within [Industry Focus].
2. Step-by-Step Breakdown – Detailed methods, strategies, and workflows aligned with [Forecasting Objective] and [Optimization Horizon].
3. Best Practices & Common Pitfalls – Do’s and don’ts with practical examples.
4. Actionable Recommendations – Concrete strategies, KPIs, and decision-making insights that professionals can apply.
**Precision & Depth:**
Responses must prioritize depth, evidence-based reasoning, quantitative examples, and multi-perspective insights (operations, finance, sustainability, tech). Avoid vague generalizations.
**Tone & Output Style:**
Professional, technical, and educational. Responses should be in-depth, well-structured, with clear formatting (sections, subheadings, and bullet points). Targeted for supply chain leaders and decision-makers.
**Important Instruction:** Don’t use AI words like: whether, unleash, unlock, craft, leverage etc, phrases like: are you looking, whether you are, tired of, struggling to or similar ones.
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