Best Retail Space Planning Software - Page 2

3D virtual shelf builder

The 3D virtual shelf builder is an online platform that provides clients with the power to simulate any shopping experience that would otherwise be done in real life. This is used to understand the shopper behaviour at shelf. for instance, if the client is looking to optimise the shelf or fixture design, then the shelf builder can allow them to mock this up in 3D and then test this with real shoppers. This helps the client to understand if their designs, packs, or product placement is optimal.

Accruent Space Intelligence

Accruent Space Intelligence is a brand new space management software created by Accruent. This integrated solution provides a centralized, data-driven understanding of the real estate portfolio that enable users to analyze their current real estate portfolio, plan for the future, and execute changes that make a positive impact — all from one comprehensive, easy-to-use dashboard environment. This helps organizations overcome pain points, like lack of transparency and disparate data sources, so they can make the right real estate decisions.

Ailet: Retail Execution

End-to-end IR solution for precise retail execution and real-time analytics

eLeader Shelf Recognition AI

eLeader Shelf Recognition AI is a solution enabling field representatives to report on product shelf display and price based on intelligent image recognition. The results arrive within the time of the visit. This is why the representative can react instantly using reliable data. The functionality of eLeader Shelf Recognition AI can be smoothly expanded by any processes used in the field (surveys, promotion audits, route planning, training, perfect store). You need to know that at your fingertips, you have the most functional tool of its class available on Android and iOS mobile platforms. While a manual audit of a product shelf takes about 20 minutes in a modern trade store, Leader Shelf Recognition AI needs 90 seconds to take photos of the display. Main advantages and benefits of the product: 1. Results of a display analysis performed during one visit 2. Lower costs thanks to artificial intelligence 3. Reliable and manipulation-resistant data, shorter time of a display analysis 4. More business decisions during a visit (initiating orders, contracts, promotion audit etc.) 5. Swift implementation 6. The most extensive functionality in the world (thanks to native integration with eLeader Mobile Visit SFA/FFM system) 7. No more inspection visits of supervisors 8. Artificial intelligence consumes the computing power of machines, but saves human energy Functionalities: Shelf Recognition AI uses an Augmented Reality camera. Panorama AR technology allows tracking of shelf registration progress in real time. Scanning displays mean one can skip manually taking photos. Automatically guiding users through shelves and identifying unphotographed areas allows for a flexible and stress-free approach to in-store product checks. A classic camera is still available, depending on project conditions and users' devices. Adjustment of the display to standards Regardless of how merchandising standards are formulated, eLeader Shelf Recognition AI will be able to read them and analyze where the display needs to be improved. Sample parameters include the number of faces, the immediate vicinity or the shelf number. Adjustment of the display to the planogram If a planogram has been developed for a given store (e.g. created with JDA Space Planning), eLeader Shelf Recognition AI is able to compare the display with the valid template and indicate which products on the shelf need to be added or rearranged in order to achieve full compliance. Identification of competitors’ products Your own expositors are an ideal place to sell products and promote your brand. It is no good when competitors’ products can be found in them. Our solution can detect it and inform the user that e.g. in the refrigerator there is an unwanted product. Automated surveys The reasons for the lack of products on the shelf or other concerning (or just interesting) situations can be diagnosed through triggering a survey at the right moment of a visit. This fully automated functionality facilitates better understanding of the situation on the market. Perfect Store&Visit The requirements for a specific display in a specific store can be expressed as KPIs. Using Perfect Store methodology to fulfil them increases the effectiveness of visits. eLeader Shelf Recognition AI accelerates and automates the stage of gathering display-related data for the purpose of measuring and improving the KPIs of the store, employee or visit. Orders The absence of a product from the shelf is usually a signal to place an order for it. Identification of such a lack may be a designed condition for adding the product to the shopping cart automatically (also in a pre-defined form calculated based on the history of orders). Promotions An example of applying eLeader Shelf Recognition AI in a broader context is the functionality of checking the possibility of rewarding a shop as part of an internal promotional campaign or a loyalty program. All you need to do is to supply the module with the relevant data on display, while the system, based on the photo taken, will calculate the products and determine the possibility of rewarding the store manager. Automated control Good news for auditors and managers! eLeader Shelf Recognition AI practically eliminates the need to conduct audits in stores. Thanks to the photographic documentation and flow of tasks necessitating such checks and corrective measures like surveys or negotiations, inspections can be limited only to special occurrences, often without the need to visit the store. Audit of promotions The monitoring of promotional campaigns can be automated. The system verifies the products covered by a special offer valid for a given shop. In addition, the application will check the compliance of POS (POSM) materials – also by means of image analysis. Route planning Scheduling visits to particular points is a game where the winner is the one who best assesses the sales potential in their area. eLeader Shelf Recognition AI provides information about the availability of products, share of the shelf, the number of faces or meeting merchandising standards. This information is an excellent, relevant input for creating a company ranking of points that should be visited as frequently as possible, because they generate the most profit. Retail Activity Optimization (RAO) A good salesman should always know how to react to irregularities during a visit or further improve good sales results. eLeader Shelf Recognition AI provides quantitative data for comparison, e.g. with three previous visits, detects non-execution of contracts or product shortages. The solution allows for planning visit scenarios in such a way that suggested corrective actions and relevant contextual materials are suggested to the salesman at the moment they are needed. For example: the lack of a product on a particular shelf during the third visit means that the shop manager should be interviewed in order to ensure that contractual obligations are fulfilled or to change the terms of the contract so that the store can meet them. Information on competitors Reports do not only serve the purpose of providing information about the condition of one’s own products, but can also say a lot about the competition. Through recognition of the brands of the competitors, we will receive information on the share of shelves and trends.

Goods Checker

Goods Cheсker is a solution for computer vision-assisted merchandising automation by IBA Group. 95%+ recognition accuracy of goods on shelves. Analysis of types of goods and SKUs on store shelves using neural networks and computer vision, comparing realograms with planograms. Goods Cheсker helps FMCG/CPG companies to organize merchandising at the points of sales and to see real-time situations on the shelves, to allows increasing sales, avoid out-of-stocks as well as get analytics quickly. Coods Checker consists of 3 autonomous modules: • Shelf Eye, a computer vision module, to obtain analytical data on points of sale, SKUs, and merchandisers in real-time • Plano Creator module to create, copy, and edit planograms • Check & Go mobile app to generate tasks and routes for field employees and to check the layout of goods in real-time at the points of sale. Any combination of modules can be purchased and used.

Hivery

HIVERY is a multi-award winner pioneer of hyper-local retailing, combining artificial intelligence (AI), operations research, and human-centred design to help consumer packaged goods (CPG) manufacturers and retailers generate a return on physical space investments. HIVERY is transforming category management and retail trade promotion with innovative algorithms sourced from Australia's national science agency - CSIRO's Data61. HIVERY is venture-backed and headquartered in Sydney, Australia, with offices in the USA and Japan. HIVERY was founded on the vision that Data Has A Better IdeaTM - and we’re working together with our clients to uncover its full potential. We have 3 SaaS-based solutions 1) AI in category management The world’s first true store level strategy simulation & optimization solution. One-click, rapid, ML-driven to operationalize your category strategy. It can: 1.1. Perform rapid category scenario Simulate multiple strategic scenarios and run playbacks to evaluate business impact and assortment decisions. It will transform your Joint Business Planning (JBP) sessions (in minutes, not months) 1.2. Generate space assortment aware PSA ready planograms in minutes. Generate fully store-level executable planograms that simultaneously understand space and assortment for each store quickly 1.3. Smart store-level planograms Factor your own custom merchandising constraints, goals and brand flow rules as into HIVERY Curate’s model while seeing the impact of transferable and incremental demand when adding or removing any SKUs AI in Vending Machines HIVERY Enhance uses your existing vending management system data and our powerful AI-driven engine to enhance and optimise the mix of product, space and price for each machine in your fleet. It factors only a few data variables to make recommendations that maximise profit. AI in trade promotional optimization HIVERY Promote solution assists CPG companies in predicting the demand impact of their promotional calendar. It models several demand signals, including product catalogue, store placement, seasonality, own and cross-retailer competitor price elasticities, and generates accurate demand predictions along with a range of KPIs. Ultimately, PE will incorporate its optimisation capability to deliver an implementable promotional calendar corresponding to required business KPIs.

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IWD

IWD IS A SAAS COMPANY THAT HELPS BRANDS MANAGE THEIR MERCHANDISING CYCLE. We empower brands to achieve consistency in all points of sale and boost the performance of their merchandising strategies. We provide a collaborative platform for brands to efficiently and instantly execute their in-store merchandising operations, improve the customer experience, and considerably increase sales. - Create & share 2D or 3D guidelines - Execute in-store directives, maximize implementation, monitor stores and collect feedback and data from your stores - Analyze field data, store performances and take decisions to improve your next merchandising cycle Whether in Paris (HQ), Amsterdam, New York, Los Angeles or Singapore, more than 500 brands trust IWD, such as: L’Oréal, Estée Lauder, Richemont, Coty, LVMH, The North Face, Patagonia, Vans, Nike, Hermès, Shiseido, and many more.

jahanVerse

jahanVerse is a cloud-based and AI-enabled twin platform that optimizes demand forecasting, pricing, promotion, and assortment planning for retailers and supply chain businesses. The platform creates a virtual model of physical systems and processes to mirror operations as well as predict, learn, and optimize decisions. Key capabilities include holistic process replication, scenario planning through risk-free simulations, and AI-driven optimization and forecasting. The platform brings together multiple models into one interface to provide complete visibility while leveraging AI to enhance decision-making.

Klee Store

MerchLogix Planogram

Easy to use and cloud-based, MerchLogix Planogram connects stores and merchants, so your vision makes it to the shelf. (And you’re not getting charged more for additional users.) Gone are the days of trying to force products where they don’t fit, or onto fixtures that can’t be found. Planogram gives you and your entire team accurate, store-specific floor plans so you can get a lot more granular – and profitable – with shelf-level planning.

MockShop

Blood, sweat and tears among other considerable resources are poured out into development. To capture return on investment, the same amount of passion that goes into design must carry on to support all the stages of the product lifecycle.

Nielsen Assortment and Space Optimization (ASO)

Unlock growth at the shelf with a cloud-based way to position your assortment for better ROI

Plano360

PlanogramBuilder

PlanogramBuilder is designed for manufacturers, brands and retailers who want to create professional planograms quickly and efficiently. 3D planogramming provides many benefits such as interactive viewing and printing from any angle, automatic product duplication along shelf depth, simulation of complex fixtures and POS elements and many other features difficult to achieve in 2D. The software also comes with standard analysis tools to optimize shelf value and assortments.

posos.cloud

posos.cloud is a retail planogram software to create and optimize products on shelf, product positions and shelf space in stores. Focusing on cosmetics and POS displays including instant visualizations, the software helps to save up to 80% of time compared to the traditional way of planogramming. Drag & drop modules, products and upload graphics directly in the planogram or access essential information such as module lists, product lists, SKUs, EAN codes.