Planogram Software That Turns Shelf Data Into Predictive Revenue
We design, build and automate planogram solutions that combine predictive analytics, computer vision, and retail execution data into a single digital planogram system. From first pilot to chain-wide rollout, we help retailers and CPG brands optimize shelf space, raise on-shelf availability, and lift category sales without replacing your existing merchandising stack.
Reduce out-of-stocks, cut planogram cycle time, and make shelf decisions backed by real sales and image data.
- Predictive shelf optimization using POS, loyalty, and image recognition data
- Cloud-native planogram app for merchandisers, category managers, and field teams
- Automated compliance checks via computer vision and mobile audits
- Integrations with SAP, JDA/Blue Yonder, Relex, Nielsen, and in-house ERPs
- GDPR-ready architecture, role-based access, and full audit trail
Why Are Your Planograms Always Out of Date Before They Reach the Shelf?
Most retailers still build planograms in disconnected tools, refresh them on a quarterly cycle, and rely on manual store audits. By the time a new layout is deployed, demand has shifted, competitor assortments have changed, and compliance data is weeks old. The result is lost sales, wasted space, and category decisions made on gut feel.
Planogram System Building Blocks Built for Retail Scale
Streaming POS, stock, loyalty, and master data pipelines with schema enforcement and lineage.
Space-elasticity models, demand forecasts, and constraint solvers for assortment and facings.
Image recognition for shelf photos, price tags, and share-of-shelf measurement.
Planogram app with multi-format rendering, versioning, and role-based workflows.
APIs and connectors for SAP, JDA/Blue Yonder, Relex, Nielsen, and custom ERPs.
Full audit trail, RBAC, encryption in transit and at rest, and GDPR-ready logging.
How We Deliver Your Planogram Solution
We align on priority categories, formats, KPIs, and data sources with merchandising, operations, and IT. Output: solution blueprint and measurable success criteria. (1-2 weeks)
We audit POS, stock, image, and master data, plus the current planogram tool landscape. Output: integration map, data readiness report, and target architecture. (2 weeks)
We build the first working planogram software module, covering optimization, app, and compliance loop, for one category in a pilot set of stores. Output: production MVP with baseline analytics. (6-8 weeks)
We scale planogram automation across banners, formats, and markets with CI/CD, monitoring, and training. Output: chain-wide planogram system with live compliance scoring. (8-12 weeks)
We retrain models on new sales and image data, expand to adjacent categories, and tune layouts weekly. Output: measurable lift in sales per linear meter and on-shelf availability. (ongoing)
Business Impact of Planogram Automation
5-15% category sales uplift from predictive planogram optimization
20-40% reduction in out-of-stocks on priority SKUs
50-70% faster planogram cycle time from design to store execution
60-90% reduction in manual audit effort via computer vision compliance
2-3x more planogram variants managed per category manager
Within 2 quarters measurable ROI in the first rolled-out category
Who Gets the Most Value From a Modern Planogram System
From Static Shelf Layouts to a Predictive Planogram Platform
We turn fragmented planogram tools into one platform that ingests sales and image data, recommends layouts, scores compliance, and ties every change back to operational workflows and measurable outcomes.
Frequently Asked Questions
A planogram is a visual and data-driven plan of how products are placed on a shelf, bay, or fixture to maximize sales and customer experience. A digital planogram, unlike a static image or PDF, is stored as structured data, so it can be versioned, queried, integrated with POS and stock systems, and automatically compared against shelf photos for compliance.
Planogram automation combines a target digital planogram with computer vision models that read shelf photos taken by field reps or fixed cameras. The system detects facings, gaps, and misplacements, scores compliance against the planned layout, and pushes corrective actions to store teams, replacing manual audits with near real-time feedback.
At minimum, you need SKU master data, store-level POS history (12+ months), current planogram files, and basic store attributes. To unlock full planogram optimization, we also recommend stock and out-of-stock data, loyalty transactions, and shelf imagery. We assess data readiness in the first two weeks and design around what is realistically available.
Most clients see measurable ROI within one to two quarters after the first category goes live. The MVP typically ships in 6-8 weeks, followed by a pilot in a store cluster. Early wins usually come from reduced out-of-stocks and faster planogram cycle time, with sales uplift stabilizing after one to two replenishment cycles.
Yes. Our planogram development team builds connectors to JDA/Blue Yonder Space Planning, SAP Retail, Relex, Nielsen, and custom ERPs. We can either replace legacy planogram tools or sit on top of them as a predictive and automation layer, depending on your strategy and existing contracts.
It works for both. For smaller chains, we deploy a lighter planogram app with pre-configured optimization templates and simpler integrations. For enterprise retailers, we build a full planogram system with multi-format support, chain-wide automation, and deep integration into assortment and replenishment platforms.
All loyalty data is pseudonymized before entering modeling pipelines, access is controlled via RBAC, and processing is logged end-to-end. Shelf imagery is stored in region-specific cloud environments with encryption at rest and in transit. We align with GDPR, ISO 27001, and SOC 2 practices and support EU-only data residency when required.
Ready to Turn Your Shelf Into a Predictive Asset?
Book a 30-minute, no-obligation consultation with our planogram team. We'll review your current planogram tool stack, identify the fastest path to measurable sales uplift, and outline what an MVP would look like for your priority category, with clear KPIs, timeline, and cost.
Discovery call
We review your current planogram tool stack and priority categories on a 30-minute, no-obligation call.
MVP scope
We outline what an MVP looks like for one category, with clear KPIs, timeline, and cost.
Pilot and rollout
We build the pilot in a store cluster, then scale automation chain-wide once results are proven.