Quant
Cloud solution to manage retail spaces, product categories and planograms. Smart automatic generation of planograms based on sales is possible. This allows for the maintenance of planograms in a current state even in large sales networks with many stores. Quant is a complete solution for Space Planning and Category Management, planograms and ranging, shelf labels and POS printing, communication and in-store marketing. Quant Cloud offers all the benefits of cloud computing. You can work remotely on the same projects with your colleagues around the globe and access the same database from different computers. There is no need to create complex infrastructures or overload your IT department. Our consultants are always available to assist you. We train your users, and assist with data integration so Quant can go live in less than 12 week.
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SMS Storetraffic
Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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Charm.io
Use Charm to uncover and analyze 4 million ecommerce brands globally. Access deep ecommerce insights for lead generation, merchandising, and sourcing.
With Charm, you can:
-Build a high-quality pipeline of ecommerce brands & TikTok Shops: Identify and connect with ecommerce brands and TikTok Shops that meet your criteria. Filter leads based on key indicators like the Charm Growth Score™, Charm Success Score™, ad activity, technology stack, marketplace presence, social media engagement, and more.
-Find emerging brands to feature in your retail business: Spot rising brands gaining traction online and on TikTok Shop. Narrow your search by product category to discover brands that align with your store’s needs, enabling data-driven merchandising choices.
-Access in-depth insights to evaluate potential investments: Charm’s Growth Score™ has helped identify breakout brands before they became widely recognized. Leverage advanced analytics to pinpoint promising businesses and make informed sourcing and investment decisions.
Charm.io utilizes proprietary AI models to identify, analyze and score every ecommerce brand online. Use over 70+ filters and helps you find lists of brands within your ideal customer profile.
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XPLN Suite
The software suite XPLN is one of the leading solutions for collecting current market data, e-commerce price optimization and comprehensive services in the field of Digital Shelf Analytics. A strong focus on technology, innovation and proximity to the customer enable us to deliver higher quality data to our customers and help them grow their business through valuable insights and confident decisions about offers and positioning. Many well-known retailers and brands trust in us.
XPLN allows enterprises to import product or pricing data and automatically collect market prices from multiple online sources. Administrators can use the dashboard to track online ratings, stock levels, prices, marketplace ranking, and other metrics on a centralized platform. It also lets the clients define product repricing strategies based on configured rules, utilize the price monitoring engine to determine required changes, and manually or automatically adjust prices in the database.
XPLN further enables organizations to analyze competitors' product ranges or catalogs for available colors, sizes, variants, or prices. Brand manufacturers can detect unauthorized sellers and determine differences between RRP and selling prices.
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