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Awesome Planogram Software & Retail Space Planning Ecosystem Banner

πŸ›’ Awesome Planogram Software & Retail Space Planning

A curated index of enterprise SaaS platforms, AI shelf-auditing solutions, computer-vision engines, and open-source frameworks for retail planogramming, visual merchandising, category management, and shelf-space optimization.

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πŸ“– Table of Contents


🌟 Overview & Capabilities

Planogram software empowers retail chains, FMCG brands, category managers, merchandisers, and store operations teams to design, simulate, publish, analyze, and audit physical product placement across gondolas, fixtures, endcaps, chillers, and floor layouts.

🎯 Key Use Cases & Capabilities:

  • πŸ“ Fixture & Bay Design: Define shelf dimensions, pegboards, hanging racks, pushers, and multi-tier displays.
  • πŸ“¦ Facings & Assortment Optimization: Allocate shelf facings based on velocity, margin, days-of-supply, and pack-out volume.
  • 🏬 Store-Specific Clustered Planograms: Localize layouts by store format, regional demand patterns, and footprint constraints.
  • πŸ‘οΈ Computer-Vision Shelf Audits: Validate real-time shelf compliance, detect out-of-stock (OOS) gaps, and catch misplaced SKUs.
  • πŸ“Š Category Management & Sales Analytics: Measure sales per linear foot, share of shelf, margin density, and profit optimization.
  • πŸ“± Store Execution & Mobile Ticketing: Distribute actionable visual guides to store associates for quick reset implementation.

🏒 SaaS & Hosted Platforms

πŸ“Š Market Overview & Structure: The global retail space planning and digital shelf optimization software market is estimated between $3.8 Billion and $7.3 Billion (encompassing digital shelf analytics, retail execution management, automated replenishment, and merchandising demand systems). The sector is moderately concentrated at the top enterprise tierβ€”anchored by global conglomerates such as Blue Yonder (Panasonic), NielsenIQ, RELEX Solutions, and SymphonyAIβ€”while remaining highly fragmented across the mid-market and SME segments, where specialized cloud-native SaaS platforms and agile visual tools compete dynamically.

🏒 Platform / Product πŸ“ Description πŸ’Ό Company Scale (Valuation / Revenue) 🏷️ Pricing (Starting Tier) 🎁 Free Tier / Free Trial Limits
Blue Yonder Enterprise retail planning platform offering category and space-management capabilities for assortment planning, shelf optimization, merchandising, and retail operations. ~$8.5B Valuation / $1.36B+ Revenue (Panasonic Subsidiary) Starting at $5,000 / month ($60,000/year base entry tier for Space Planning module) 30-day guided enterprise sandbox / proof-of-concept environment limited to a single test merchandising department and simulated POS dataset.
NielsenIQ Spaceman Enterprise space-management suite providing integrated planogramming, space planning, performance analysis, automated planogram generation, data management, and compliance workflows. ~$5.62B Market Cap / $2.88B+ Annual Revenue (Advent International / NIQ) Starting at ~$2,500 / user per year (Spaceman Merchandiser base desktop tier) 14-day guided evaluation trial limited to sample retail category datasets and preconfigured fixture templates.
RELEX Solutions AI-driven retail planning platform supporting unified space planning, assortment optimization, supply-chain forecasting, merchandising, and automated space-aware replenishment. ~$5.7B (€5B) Valuation / ~$250M+ ARR (Blackstone-backed) Starting at ~€3,000 / month (base space and assortment planning subscription tier) 30-day proof-of-concept pilot limited to 5 sample store floorplans and up to 2 retail product categories.
SymphonyAI Retail Enterprise retail AI and category-management ecosystem supporting merchandising, assortment planning, shelf intelligence, space optimization, and retail decision workflows. $1.5B+ Unit Valuation ($10B SymphonyAI Group / $500M+ ARR) Starting at ~$4,000 / month (base AI space & merchandising planning tier) 30-day guided interactive sandbox demo with pre-loaded FMCG category datasets and space optimization scenarios.
Klee Commerce Retail space and category-management platform supporting 3D visual merchandising, assortment, shelf planning, mobile field execution, and store layout optimization. ~$90M+ (€80M+) Revenue (Klee Group) Starting at €250 / user per month (base Klee Store 3D merchandising tier) 14-day evaluation demo limited to 50 SKUs, 2 virtual store fixtures, and restricted 3D export.
SmartDraw Diagramming and visual-design platform used to create store layouts, retail shelving diagrams, floor plans, fixture layouts, and visual merchandising documentation. ~$25M - $30M Annual Revenue (SmartDraw Software LLC) $9.95 / user per month ($119.40/yr billed annually, 3-user team minimum) or $131.40/yr for Individual 7-day free trial with access to all retail and floor planning templates, diagram editing, and limited document exports.
LEAFIO AI retail planning platform offering automated shelf-space planning, inventory optimization, planogram generation, assortment control, and category execution workflows. ~$8M - $12M ARR (Growth-Stage Retail AI Tech) Starting at ~$500 / month (base category & shelf planning tier for regional chains) 14-day guided proof-of-concept trial limited to 1 pilot store cluster and up to 1,000 SKUs for shelf-space optimization.
DotActiv AI-powered category management and retail space-planning platform for creating data-driven planograms, optimizing shelf space, analyzing category performance, and improving in-store execution. ~$5M - $10M ARR (Private Category Management Specialist) $800 / year (Lite edition; Pro at $2,000/yr, Enterprise at $4,500/yr) Free-forever plan (DotActiv Free) limited to 40 products on a single-drop planogram with basic analytics and reporting; 14-day free trial on paid tiers (Lite/Pro).
Aperture by RBM Technologies Retail visual merchandising and space-planning software focused on localized store layouts, fixture planning, visual merchandising communications, and category execution. ~$5M - $8M Annual Revenue (RBM Technologies) Starting at ~$1,500 / month (base multi-store merchandising & fixture planning tier) 30-day guided pilot trial limited to 3 store layout profiles and 200 fixture configurations.
Quant Retail Retail planning and category management platform supporting micro and macro space planning, store-specific planograms, shelf-demand analytics, store clustering, and retail execution. ~$4M - $6M ARR (Quant Retail s.r.o.) €1,200 / user per year (~€100/month for Quant Basic tier) 30-day free trial with full access to Quant Basic planogram creation, fixture editor, sample store layout, and export tools.
PlanoHero Cloud-based planogram and retail space-planning platform focused on creating planograms, store layouts, merchandising workflows, and shelf execution across retail organizations. ~$3M - $5M ARR (Datawiz Corp) $199 / month (Lite plan, billed monthly or annually) 14-day free trial limited to 100 planograms, up to 5,000 SKUs, shelf/fixture builder, and basic auto-fill rules (no credit card required).
Scorpion Planogram Dedicated retail space-planning and planogram solution for creating visual 2D/3D shelf layouts, space analytics, and communicating product-placement strategies. ~$2M - $4M ARR (Scorpion One / Retail Insight) $750 / user per year (or ~$75/month for standalone single-seat license) 14-day trial evaluation version limited to 20 product SKUs and watermarked PDF/image planogram exports.
PlanogramAI AI-powered 3D shelf-planning platform supporting automated planogram creation, visualization, UPC-based product enrichment, AI-assisted shelf design, PSA compatibility, and print-ready exports. ~$1.5M - $3M ARR (Seed / Venture Backed) $59 / month ($49/month billed annually for Pro plan; Studio at $129/seat/mo) 14-day free trial on Pro and Studio plans with full 3D editor access, AI shelf generation, and sample UPC catalog lookups.
Planogram Online Browser-based planogram platform designed for creating and sharing retail shelf layouts, 3D visualizations, and product-placement plans. ~$1M - $3M ARR (Planogram.Online) $49 / month (or $490/year for standard starter tier) 14-day free trial limited to 10 active planogram projects, 500 SKUs, standard 3D shelf preview, and web-only export.
Shelf Logic Retail space-planning and shelf-management software focused on visual planograms, product placement, category analytics, and visual merchandising execution. ~$1M - $2.5M Revenue (Shelf Logic Enterprise) $995 one-time license ($595/year optional maintenance/updates for Master Edition) Free evaluation demo limited to 30 days, disabled project file saving, and watermarked planogram printouts.
SMARTASSORT Retail assortment and space-planning platform supporting category management, product assortment decisions, and merchandising optimization. ~$1M - $2M ARR (Retail Space Planning Solutions) Starting at ~$350 / month (starter tier for independent retailers and suppliers) 14-day free trial limited to 500 SKUs, 5 store planogram variations, and standard CSV/Excel assortment import.
OPENCatman Collaborative online planogram platform for designing, optimizing, analyzing, sharing, and communicating retail shelf layouts, including sales-data-based planogram analysis. <$1M ARR (Early Stage / Freemium) $99 / month ($990/year for Pro tier); free tier available Free-forever plan limited to 3 active planograms, up to 100 SKUs in catalog, 1 user seat, and standard 2D layout views.

πŸ“¦ Open-Source GitHub Projects

The open-source ecosystem provides battle-tested building blocksβ€”spanning computer vision, constraint solvers, interactive canvas editors, 3D rendering engines, and data pipeline orchestratorsβ€”that can be composed into custom, self-hosted planogram systems.

Repositories are sorted by GitHub_Stars in descending order.

πŸ“¦ Three.js GitHub_Stars

Open-source 3D graphics library suitable for creating three-dimensional store, fixture, shelf, and product-planogram visualizations.

πŸ“¦ D3.js GitHub_Stars

Open-source visualization framework suitable for building custom interactive planogram editors and retail shelf visualizations.

πŸ“¦ OpenCV GitHub_Stars

Major open-source computer-vision framework that can serve as the foundation for shelf-image analysis, product detection, shelf segmentation, planogram comparison, and retail compliance systems.

πŸ“¦ Grafana GitHub_Stars

Open-source dashboard and visualization platform useful for monitoring retail execution, store compliance, out-of-stock events, and planogram KPIs.

πŸ“¦ Apache Superset GitHub_Stars

Open-source business-intelligence platform suitable for analyzing sales, shelf productivity, product performance, facings, planogram compliance, and category KPIs.

Open-source computer-vision framework widely used for object detection, classification, segmentation, and tracking, making it suitable for detecting products, shelves, gaps, and misplaced items.

Open-source foundation image-segmentation model useful for identifying shelf boundaries, product regions, fixture structures, and visual retail objects.

Computer-vision toolkit for retail shelf object detection, product count analytics, bounding-box tracking, and shelf-zone visual merchandising auditing.

πŸ“¦ ClickHouse GitHub_Stars

High-performance analytical database suitable for large-scale retail sales, shelf observations, image-analysis events, and compliance analytics.

πŸ“¦ Metabase GitHub_Stars

Open-source analytics platform suitable for building retail dashboards around sales, shelf performance, inventory, assortment, and compliance metrics.

πŸ“¦ Apache Airflow GitHub_Stars

Open-source workflow-orchestration platform suitable for automating retail data ingestion, planogram calculations, optimization workflows, and compliance reporting.

πŸ“¦ Streamlit GitHub_Stars

Rapid Python application framework for building custom web-based planogram builders, retail sales analytics dashboards, and interactive assortment tools.

πŸ“¦ DuckDB GitHub_Stars

High-performance analytical in-process database useful for processing planogram, sales, assortment, inventory, and retail-performance datasets.

πŸ“¦ Detectron2 GitHub_Stars

Open-source computer-vision platform supporting object detection and segmentation, useful for building advanced shelf and product-recognition pipelines.

πŸ“¦ ZXing GitHub_Stars

Open-source multi-format barcode and QR-code processing library suitable for retail product-catalog and shelf-audit applications.

πŸ“¦ MMDetection GitHub_Stars

Open-source object-detection toolbox providing many models and workflows that can be adapted for retail shelf-product detection and planogram compliance.

πŸ“¦ Fabric.js GitHub_Stars

Open-source canvas framework suitable for building interactive product-placement and shelf-layout editors.

πŸ“¦ Redash GitHub_Stars

Open-source data visualization and SQL-query platform suitable for self-hosted retail and merchandising analytics.

πŸ“¦ Babylon.js GitHub_Stars

Open-source 3D rendering engine that can support immersive 3D retail shelf visualization and virtual store-planning systems.

πŸ“¦ Prefect GitHub_Stars

Open-source workflow automation framework useful for running recurring shelf-analysis, planogram-optimization, and retail data-processing pipelines.

πŸ“¦ Airbyte GitHub_Stars

Open-source data-integration platform useful for consolidating retail and merchandising data from SaaS systems, APIs, databases, and cloud services.

πŸ“¦ PostgreSQL GitHub_Stars

Mature open-source relational database suitable for storing product catalogs, fixtures, shelf layouts, planograms, store information, and compliance data.

πŸ“¦ Plotly GitHub_Stars

Open-source visualization library useful for creating interactive planogram views, shelf layouts, category analysis, and retail dashboards.

πŸ“¦ NetworkX GitHub_Stars

Open-source graph-analysis library useful for modeling product adjacency, category relationships, shopper pathways, and store-layout relationships.

πŸ“¦ Dagster GitHub_Stars

Open-source data-orchestration platform suitable for managing retail data pipelines and planogram analytics workflows.

πŸ“¦ OpenMetadata GitHub_Stars

Open-source data-catalog and governance platform useful for documenting retail product, POS, inventory, and planogram datasets.

πŸ“¦ Konva GitHub_Stars

Open-source JavaScript canvas library useful for creating browser-based drag-and-drop planogram editors and interactive shelf-layout applications.

πŸ“¦ Google OR-Tools GitHub_Stars

Powerful open-source optimization suite that can be used for shelf allocation, facing optimization, assortment selection, product-placement constraints, store-layout optimization, and retail space planning.

πŸ“¦ dbt Core GitHub_Stars

Open-source data-transformation framework useful for creating standardized retail and merchandising data models from POS, inventory, product, and planogram datasets.

πŸ“¦ DataHub GitHub_Stars

Open-source metadata platform suitable for cataloging and governing datasets used in retail space planning and merchandising analytics.

Open-source data-quality framework useful for validating product dimensions, sales data, inventory information, and planogram input datasets.

πŸ“¦ Grounding DINO GitHub_Stars

Open-source open-set object-detection model that can support flexible identification of retail products and shelf objects using text prompts.

πŸ“¦ Apache NiFi GitHub_Stars

Open-source dataflow platform that can integrate POS, ERP, inventory, product-information, image, and retail-execution data.

πŸ“¦ MMOCR GitHub_Stars

Open-source OCR toolkit useful for reading product labels, shelf tags, price labels, promotional information, and retail signage.

πŸ“¦ Meltano GitHub_Stars

Open-source ELT and data-integration platform suitable for building retail analytics and merchandising-data pipelines.

πŸ“¦ Pyomo GitHub_Stars

Open-source Python optimization framework useful for building mathematical models for retail space allocation and product-placement optimization.

πŸ“¦ PuLP GitHub_Stars

Open-source linear-programming toolkit suitable for solving shelf-space and assortment-allocation optimization problems.

πŸ“¦ Soda Core GitHub_Stars

Open-source data-quality framework useful for monitoring retail and merchandising data pipelines.

Open-source constraint-solving and optimization engine suitable for complex planogram problems involving shelf capacity, adjacency rules, category constraints, facings, and profitability.

πŸ“¦ Open Food Facts GitHub_Stars

Open-source food-product database and ecosystem that can provide product metadata for grocery and FMCG planogram applications.

Open-source Python interface to SCIP optimization framework for mixed-integer programming and constraint optimization in retail space-allocation models.

Open-source retail shelf management and planogram compliance framework using object detection for product localization on supermarket shelves.

Open-source retail shelf-monitoring and out-of-stock detection system using YOLO and computer vision to identify empty shelf space and stock gaps in real time.

Open-source retail planogram reconstruction and shelf object detection system comparing selective search, watershed segmentation, and deep learning models.

Open-source reference implementation demonstrating AI-assisted retail planogram generation, analysis, comparison, and shelf-compliance checking using Amazon Bedrock, vision models, and LLMs.

Open-source computer vision system for identifying empty shelf voids and auditing product availability on retail gondolas.


πŸ—οΈ Architectural Blueprint: Building Custom Planogram Systems

You can combine open-source libraries to construct a full-stack, transparent, and scalable retail space-planning platform:

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                            PRESENTATION LAYER                               β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚ 2D Canvas Editor        β”‚  β”‚ 3D Virtual Fixtures β”‚  β”‚ Executive KPI   β”‚  β”‚
β”‚  β”‚ (React + Konva/Fabric)  β”‚  β”‚ (Three.js / Babylon)β”‚  β”‚ (Apache Supersetβ”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                       β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    SPACE PLANNING & OPTIMIZATION ENGINE                     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚ Mathematical Optimization: Google OR-Tools / OptaPlanner / Pyomo      β”‚  β”‚
β”‚  β”‚ - Shelf Capacity Constraints   - Adjacency & Brand Blocking Rules    β”‚  β”‚
β”‚  β”‚ - Velocity-based Facings       - Profit Maximization & Pack-Out       β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                       β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                    CV SHELF AUDIT & COMPLIANCE PIPELINE                     β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚ Edge Vision: Ultralytics YOLO11 + Roboflow Supervision + Segment-SAM β”‚  β”‚
β”‚  β”‚ - Real-time Out-of-Stock (OOS)  - Misplaced SKU Detection             β”‚  β”‚
β”‚  β”‚ - Planogram Compliance Score   - Electronic Shelf Label / OCR (MMOCR) β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                       β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                       DATA & INGESTION INFRASTRUCTURE                       β”‚
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚ Storage & Analytics   β”‚  β”‚ ETL & Transformationβ”‚  β”‚ Workflow DAGs     β”‚  β”‚
β”‚  β”‚ PostgreSQL / DuckDB   β”‚  β”‚ Airbyte + dbt Core  β”‚  β”‚ Apache Airflow    β”‚  β”‚
β”‚  β”‚ ClickHouse            β”‚  β”‚ Open Food Facts     β”‚  β”‚ Prefect / Dagster β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ”¬ Core Feature Breakdown

Category Primary Technologies & Standards Key Business Objectives
Micro Space Planning DotActiv, PlanoHero, Nexgen POG, Konva, Fabric.js Optimize SKU facings, shelf height, depth, and fixture pack-out per bay.
Macro Space Planning Quant Retail, SmartDraw, NielsenIQ Spaceman Store floor layout, customer aisle flow, department allocations, and gondola runs.
Shelf Computer Vision OpenCV, Ultralytics YOLO, SAM, Roboflow Supervision Automated store audits, share-of-shelf measurement, void detection, and compliance scoring.
Algorithmic Space Optimization Google OR-Tools, Timefold Solver, Pyomo, PuLP Constraint programming to maximize gross margin return on space investment (GMROII).
Assortment Localization RELEX, Blue Yonder, SymphonyAI, dbt Core Clustering stores by demographics and sales velocity for localized merchandising.

πŸ’‘ Frequently Asked Questions (FAQ)

1. What is a Planogram (POG) and why is it critical for retailers? A planogram is a visual schematic that specifies the precise placement and facings of products on retail fixtures and shelves. Effective planograms maximize sales per square foot, minimize out-of-stock incidents, streamline replenishment, and enforce brand presentation across stores.
2. How does Computer Vision enhance shelf compliance? Traditional shelf audits rely on manual inspections that are labor-intensive and slow. Modern CV pipelines (using YOLO, Segment Anything, and OCR) analyze camera feeds or mobile photos taken by store associates to automatically compare physical shelves against digital planograms in seconds, highlighting out-of-stock items and misplaced facings.
3. Can I build a planogram solution using only open-source software? Yes. A modern open-source stack combines canvas libraries (Konva/Fabric.js) for the editor, Google OR-Tools or Timefold Solver for layout optimization, DuckDB/PostgreSQL for storage, and YOLO/OpenCV for camera-based audit verification.
4. What file formats are standard in planogramming? Common industry formats include PSA (Planogram Space Allocation files), XML, JSON interchange formats, and CSV layouts for POS/ERP integrations.

🀝 How to Contribute

Contributions are warmly welcomed! To contribute:

  1. 🍴 Fork the Repository.
  2. 🌿 Create a new branch: git checkout -b feature/add-planogram-tool.
  3. πŸ“ Add or edit entries: Ensure factual descriptions, official links, exact starting prices, and star badges.
  4. πŸš€ Submit a Pull Request with a concise description of your additions.
  5. ⭐ Star the repo if you found this curation valuable!

πŸ“ˆ Star History

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βš–οΈ Disclaimer

This repository is a community-curated directory intended for educational, research, and benchmarking purposes. All trademarks, service marks, company names, and product logos are the property of their respective owners. Mention of commercial software platforms does not constitute an endorsement. Space planning and shelf optimization outputs should always be validated against physical store fixture specifications, safety regulations, and inventory constraints.

Made with ❀️ for retail architects, category managers, merchandisers, computer vision engineers, and developers building the future of retail space intelligence.

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