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Pattern Shapes Orange
Customer & Sales

Sales and portfolio
planning

Turn commercial complexity into confident sales and portfolio decisions

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How

SHAiPE: the LTPlabs framework

  1. Set the Decision

    • Define the planning objective

      incremental demand, margin protection, portfolio focus, capacity alignment

    • Set the planning level

      product, portfolio, customer, key account, channel, region

    • Define the planning horizon

      short-term (promo / cycle), mid-term (quarter), strategic (annual scenarios)

  2. Highlight what matters

    • Align on success metrics

      incremental revenue, contribution margin, ROI, service level impact

    • Define business and operational constraints

      capacity, budget, supply limits, sales force availability, strategic priorities

    • Align roles and decision ownership across sales, marketing, and finance

    • Define the data processing tasks needed to prepare information for sales planning

  3. Augment with AI

    • Quantify incremental demand and cannibalization for each decision

    • Customer
      Predictive AI model
      Historical sales
      Pricing + Promotions
      Market data
      Macro economics
    • Simulate market scenarios to prescribe the optimal mix of products, promotions, and sales focus, maximizing total impact within execution capacity and strategic guardrails

  4. Prototype your solution

    • Pilot the methodology by testing recommended campaigns

    • Deliver a prototype interface to enable the pilot and adoption phase

  5. Expand to scale

    • Deliver a fully-fledged planning tool for commercial and category leaders, training the teams to extract maximum value from the tool

    • Enable teams to test scenarios before committing resources

    • Establish planning cadence and governance to continuously monitor decisions

Nutshell

What this means for your business

1%5%

promotional and portfolio ROI, driven by incremental demand

  • Clear prioritization of sales effort and investment across products and markets

  • Fewer surprises from cannibalization, overload, or misalignment

  • Sales and portfolio decisions that scale consistently across teams and cycles

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