The Best AI-Powered Category Management Software
Why Retailers and Suppliers Are Choosing DotActiv
When retail executives and consumer packaged goods (CPG) brands search for the best AI-powered category management software, the search results are frequently dominated by legacy enterprise platforms. While massive supply chain suites serve their purpose for global conglomerates, modern retail teams require agile, intent-driven automation that doesn’t take months to deploy.
If your team is still manually building planograms or wrestling with static dashboards, there is a faster, smarter path forward.
TheDotActiv Category Management Suite brings specialised AI Tools directly into the merchandising workflow that are purpose-built for planning, analysis, and in-store execution.
Proven Impact: Real-World Performance Metrics
AI is only valuable when it helps retailers make better decisions and execute them consistently. Across retailers and suppliers, DotActiv’s combination of clustering, assortment planning, planogram automation, floor planning, retail analytics, and AI-powered workflows has delivered measurable commercial results.
- InMotion Luggage Category Optimisation: Using localised clustering, space planning, and data-driven planogram optimisation, InMotion achieved a 43% increase in average sales and a 37% increase in unit movement.
- Link Pharmacy Group Expansion: By combining automated merchandising workflows, assortment optimisation, and standardised planograms, Link Pharmacy grew revenue by 35% while increasing unit volume by 21% across its store network.
- Independent Pharmacy Self-Medication Audit: Through category analytics, range optimisation, and data-backed merchandising recommendations, an independent pharmacy chain increased average category sales by 23% and unit movement by 12%.
- Bath Care Category Restructuring: Applying category clustering, assortment optimisation, and store-specific planograms, a leading pharmacy chain achieved 31% regional sales growth alongside a 20% increase in unit turnover.
These results weren’t driven by a single feature. They came from combining the right planning tools with structured category management processes, allowing retailers to make better decisions before products ever reach the shelf. That’s where the strongest returns are typically realised.
How DotActiv Outperforms Traditional Competitors
Many legacy platforms rely on outdated mathematical models and complex, manual script configurations. DotActiv modernises this process by leveraging specialised AI engines designed for distinct roles within the category management lifecycle.
1. Nova AI: AI-Assisted Planogram Generation
Traditional planogram software often requires planners to spend hours manually adjusting product placement or configuring complex merchandising rules before a shelf layout can be generated.
- The AI Advantage: DotActiv Nova helps planners build planograms faster by combining AI with proven merchandising principles. Users can select preferred product flows, merchandising rules, and planning objectives, while Nova generates an optimised shelf layout based on the retailer’s data, business rules, and fixture constraints.
- Built for Retail Reality: Every recommendation is grounded in real retail data. Nova validates product dimensions, fixture specifications, capacity constraints, and merchandising requirements before generating the planogram, ensuring layouts are practical, executable, and ready for implementation.
Rather than replacing the planner, Nova reduces repetitive planning work so category teams can spend more time reviewing, refining, and improving merchandising decisions that drive better retail performance.
2. On-Demand Strategy: Lola, Your Intelligent Retail Analyst
Many platforms provide dense data dashboards that require separate database queries to decipher.
- The AI Advantage: DotActiv Lola is an LLM-powered category management expert built directly into the software workspace.
- Contextual Data Interaction: Category planners can interact with Lola using natural language to query internal sales performance, analyse local store trends, or generate product movement metrics automatically. Lola also functions as an on-demand industry reference to clarify merchandising terms and retail psychology on the spot.
3. Continuous Updates: Background Automation with Luna
Manually maintaining store layouts during product deletions or line extensions can consume hundreds of hours.
- The Automation Advantage: DotActiv Luna functions as an automated server-side application that updates and schedules planograms continuously in the background. When new sales figures are uploaded or product lines change, Luna refreshes the active store network layouts automatically. This automation keeps micro-space layouts aligned with real-time demand without requiring manual user intervention.
4. Verified Execution: TrueView Image Recognition
An AI-generated planogram provides little value if the layout isn’t executed correctly on the physical store front.
- The AI Advantage: DotActiv TrueView combines computer vision, image recognition, and continuously trained AI models to verify that store execution matches the approved planogram. As more shelf images are analysed, the AI models continue to improve their ability to identify products, detect merchandising issues, and validate compliance across different store environments.
- Closing the Loop: Store teams simply capture a shelf image using the TrueView mobile app. The platform automatically compares the image against the approved digital planogram, identifying missing products, incorrect facings, misplaced items, pricing or display inconsistencies, and other execution issues.
- Compliance results are reported back to head office in near real time, giving category and operations teams visibility across every store without relying on manual field audits. This creates a continuous feedback loop between planning, execution, and improvement, helping retailers resolve issues faster and train future AI models using real store data.
Side-by-Side Comparison: DotActiv vs. Legacy Enterprise Software
Feature Category
Legacy Enterprise Platforms
The DotActiv AI Suite
Planogram Creation
Manual drag-and-drop or strict script rules
Flexible Consumer Decision Tree Configuration (Nova AI)
Data Interpretation
Static reporting grids and complex SQL queries
Natural Language Data Inquiries (Lola AI)
Layout Maintenance
Manual batch updates by planners
Live Background Refreshes (Luna AI)
In-Store Audit Process
Manual drag-and-drop or strict script rules
Automated Image Recognition (TrueView AI)
Proven Value Generation
Highly opaque, multi-tier hidden fees
Documented revenue bumps up to 43%
Deployment Time
3 to 12 months with heavy IT infrastructure changes
Structured onboarding with significantly reduced IT dependency and no Hidden fees.
Feature Category
Planogram Creation
Data Interpretation
Layout Maintenance
In-Store Audit Process
Proven Value Generation
Deployment Time
Legacy Enterprise Platforms
Manual drag-and-drop or strict script rules
Static reporting grids and complex SQL queries
Manual batch updates by planners
Manual field scans or spot checks
Highly opaque, multi-tier hidden fees
3 to 12 months with heavy IT infrastructure changes
The DotActiv AI Suite
Flexible Consumer Decision Tree Configuration (Nova AI)
Natural Language Data Inquiries (Lola AI)
Choosing the Best Alternative for Modern Retail Teams
When selecting the best AI category management software, look beyond high enterprise licensing fees. DotActiv delivers an agile, unified platform that connects AI-driven planning with automated background maintenance and verified store compliance.
Whether you manage a regional pharmacy network or a national grocery estate, DotActiv scales from a single category to a full store portfolio — without the implementation overhead of legacy enterprise systems. See how DotActiv’s AI suite can improve your shelf performance by booking a demo.
