New Product Introduction Planning
Launch readiness orchestration with space planning and delisting decisions achieving 70-80% new product success rate versus 50-60% through systematic launch preparation.
Why This Matters
What It Is
Launch readiness orchestration with space planning and delisting decisions achieving 70-80% new product success rate versus 50-60% through systematic launch preparation.
Current State vs Future State Comparison
Current State
(Traditional)1. New keto ice cream SKU launching next month, category manager receives notification: 'Find shelf space for new product'. 2. Manager reviews current planogram: 250 SKUs, shelf 100% full, no available space. 3. Hastily selects SKU to discontinue: 'This one has low sales, remove it', no detailed analysis. 4. Launch day: new SKU placed on bottom shelf (only available space), minimal visibility. 5. Post-launch: new SKU underperforms (hard to find, poor placement), discontinued SKU was key item for senior customers (complaints). 6. 50-60% new product success rate due to poor launch preparation and space planning.
Characteristics
- • Excel
- • Tableau
- • Oracle Retail
- • JDA
- • SAP
- • PlanoHero
Pain Points
- ⚠ Data Silos: Difficulty in integrating data from separate systems.
- ⚠ Manual Processes: Reliance on Excel and email leading to errors.
- ⚠ Forecasting Inaccuracy: Uncertainty in demand forecasts causing overstock or stockouts.
- ⚠ Slow Rollout: Delays in planogram distribution and in-store setup.
- ⚠ Compliance Issues: Inconsistent in-store execution due to lack of real-time monitoring.
- ⚠ Limited Collaboration: Cross-functional teams often work in silos.
- ⚠ High Costs: Significant investment required for software and initial inventory.
Future State
(Agentic)1. Launch Planning Agent receives new product notification 12 weeks pre-launch: 'Keto ice cream SKU launching, requires 3 shelf facings, premium positioning'. 2. Space Planning Agent analyzes assortment: '250 SKUs at capacity, recommend discontinue SKU#123 (low sales, 2.5 star rating, 5 similar substitutes available) and SKU#456 (slow-mover, seasonal peak passed) - frees 4 facings'. 3. Agent validates delisting: 'SKU#123 discontinuation drives 80% volume to SKU#124 (similar product), minimal revenue loss. SKU#456 end-of-season timing optimal'. 4. Placement Agent optimizes shelf position: 'New keto SKU eye-level placement (high visibility), adjacent to keto-friendly products (cross-sell opportunity), end-cap promotion week 1'. 5. Readiness Agent orchestrates launch: coordinates Inventory Management Management delivery, planogram updates, staff training, promotional signage, supply chain readiness. 6. 70-80% new product success rate through systematic 12-week launch preparation vs 1-2 week reactive approach.
Characteristics
- • New product pipeline with launch dates and requirements
- • Current assortment and shelf space utilization
- • SKU performance for delisting analysis
- • Substitution patterns for discontinuation validation
- • Shelf placement rules and visual merchandising guidelines
- • Launch readiness checklist (Inventory Management Management, training, signage, promotion)
- • Historical new product launch success rates
- • Cross-functional team calendars and dependencies
Benefits
- ✓ 70-80% new product success rate vs 50-60% reactive approach
- ✓ 12-week launch preparation vs 1-2 week rushed timeline
- ✓ Systematic delisting analysis (data-driven vs hasty decisions)
- ✓ Optimal shelf placement (eye-level, cross-sell adjacency)
- ✓ Cross-functional readiness coordination (inventory, training, marketing)
- ✓ Launch playbook standardization (consistent execution)
Is This Right for You?
This score is based on general applicability (industry fit, implementation complexity, and ROI potential). Use the Preferences button above to set your industry, role, and company profile for personalized matching.
Why this score:
- • Applicable across multiple industries
- • Moderate expected business value
- • Time to value: 4-8
- • (Score based on general applicability - set preferences for personalized matching)
You might benefit from New Product Introduction Planning if:
- You're experiencing: Data Silos: Difficulty in integrating data from separate systems.
- You're experiencing: Manual Processes: Reliance on Excel and email leading to errors.
- You're experiencing: Forecasting Inaccuracy: Uncertainty in demand forecasts causing overstock or stockouts.
This may not be right for you if:
- Requires human oversight for critical decision points - not fully autonomous
Parent Capability
Assortment Planning & Optimization
AI-driven assortment planning with space optimization, localization, and continuous refinement achieving 25-40% improvement in sales per square foot.
What to Do Next
Related Functions
Metadata
- Function ID
- function-new-product-introduction-planning