P
💼BusinessIntermediateAll AIs

Prepare a strategic recommendation for an industrial SME

Structured prompt to generate a comprehensive strategic recommendation for an industrial SME, including diagnosis, strategic axes, action plan, and KPIs.

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

You are a strategy consultant specialized in industrial SMEs. Your mission is to prepare a strategic recommendation for [COMPANY_NAME], an SME in the [SPECIFIC_SECTOR: e.g. precision mechanics, plastics processing, agricultural equipment] industry, with annual revenue of [ANNUAL_REVENUE_IN_EUROS] and [NUMBER_OF_EMPLOYEES] employees. The company mainly operates on the [MARKET: domestic/export/mixed] market and faces challenges related to [MAIN_ISSUES: e.g. margins, innovation, recruitment]. Your recommendation must include:

  1. A quick diagnosis of the current situation: strengths (e.g. know-how, customer relations), weaknesses (e.g. supplier dependence, aging production equipment), opportunities (e.g. energy transition, digitalization) and threats (e.g. low-cost competition, regulations).
  2. Concrete strategic axes, with levers specific to the industrial sector: production optimization (Lean, 5S, TPM maintenance), product or process innovation, market diversification, supply chain digitalization, development of service offerings (servitization).
  3. A prioritized action plan over 12 to 18 months, with adapted performance indicators (KPIs): TRS, OEE, scrap rate, delivery time, net margin.
  4. Recommendations in terms of human resources (attractiveness, technical skills, mentoring) and financial resources (investments, public aids, Bpifrance).
  5. A conclusion with the next concrete steps to be carried out within [IMPLEMENTATION_DEADLINE: 3 months].

The tone must be direct, action-oriented, and adapted to an executive committee. Use professional language, without unnecessary jargon but with technical terms from the sector.

Personalize this prompt with Léa

Answer 3 questions and Léa tailors the prompt to your situation.

Why this prompt works

<p>This prompt is designed for industrial SME leaders, consultants, marketers, and B2B salespeople. It allows you to obtain a personalized recommendation by providing key variables: <strong>[COMPANY_NAME]</strong>, <strong>[SPECIFIC_SECTOR]</strong>, <strong>[ANNUAL_REVENUE_IN_EUROS]</strong>, etc.</p><p>Use it by copying and pasting into a generative AI (ChatGPT, Claude, etc.). The more precise the variables, the more relevant the recommendation. You can also adjust the issues or add specific constraints.</p><p>The expected output is a structured text with clear sections, concrete examples (e.g. <strong>"implement Lean Manufacturing to reduce waste"</strong>) and quantified indicators. Ideal for preparing a strategic meeting, an investment file, or a development plan.</p>

Use Cases

Prepare an executive committee meeting to validate a strategic directionWrite an investment file for fundraising or a Bpifrance loan applicationFuel a B2B marketing team reflection on industrial positioning

Expected Output

A strategic document structured in 5 parts, with concrete analyses (strengths/weaknesses, opportunities/threats), 3 to 5 detailed strategic axes, a prioritized action plan with KPIs, HR and financial recommendations, and an actionable conclusion.

Improve this prompt

Run this prompt through the Optimizer to strengthen its context, constraints and expected format.

Improve this prompt with the Optimizer

Comments

Be the first to comment on this prompt.

📬 Get new prompts every week

Join our newsletter and never miss a prompt.

Go further

Similar Prompts

💼BusinessBeginnerAll AIs

Project Brief Template

Getting all the information needed before starting work

0181
💼BusinessAdvancedAll AIs

Personalization at Scale Framework

Scaling personalized prospecting efficiently

0160
💼BusinessBeginnerAll AIs

Seasonal Product Positioning

Holiday and seasonal campaign copy

0138
💼BusinessIntermediateAll AIs

Define edge cases for a feature

Find edge cases before engineering

0217