SKU Science delivers a fast and intuitive solution for sales forecasting and performance tracking. Implement your demand planning process in as little as two days! Created by seasoned experts, it’s specifically designed for operations managers, S&OP managers, supply chain professionals, and demand planners. With 644 statistical combinations, the platform generates highly accurate and tailored sales forecasts at any level. For even greater precision, AI models can be trained on your unique dataset. Automatically calculated KPIs highlight the most critical items, helping you focus on what matters most for your supply chain and business success. The platform’s operational dashboards refresh every cycle, ensuring efficient activity monitoring and data-driven decision-making. Combining advanced capabilities with ease of use, SKU Science is trusted by clients across manufacturing, food and beverage, healthcare, retail, and e-commerce sectors.
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Coevera is an AI-native CRM and sales process platform for B2B sales organizations of 15 to 2,500 quota-carrying sellers — companies with a defined sales process, sales managers accountable for pipeline, and deals complex enough that consultation rather than transaction wins them. Formerly Pipeliner CRM, built since 2011 on one idea: a sales process should be visible, teachable and repeatable. Intelligence is the default state of the system, not a premium add-on. The platform is industry-agnostic; our strongest results have come from manufacturing, financial services, insurance, software, professional services, energy and mining.
Sales leaders buy Coevera for a forecast they can defend. Sales operations teams buy it because it can be configured, changed and reported on without a dedicated administrator, outside consultants or a multi-year build. Reps use it because the pipeline is visual and the next step is obvious.
Voyager AI — predictive deal and pipeline guidance in context, with native MCP so Coevera data is available to the AI tools your team already uses.
Visual pipeline management — drag-and-drop pipelines, buying centers and relationship maps, so who is involved in a deal and what stage it is actually in are both visible.
Guided selling — your stages, required activities and qualification criteria enforced in the flow of work rather than in a document.
Automatizer — no-code workflow automation your own ops team builds and changes.
Reporting and forecasting built in — no BI licence required, with BI Feeder exporting to Tableau, Power BI and others when your analysts want the raw data.
Three editions at three price points — $85, $115 and $150 per user per month. Implementations run in weeks, not quarters. Served markets: United States, Canada, the Un
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Retailgrid
Retailgrid is an innovative platform that harnesses artificial intelligence to enhance pricing strategies and retail analytics, allowing retailers to effectively refine pricing, promotions, and product assortment on a large scale. By merging internal metrics such as sales, costs, and inventory with external factors like competitor pricing and market trends, it offers a cohesive workspace for decision-making.
This platform features various functionalities, including rule-based pricing structures, dynamic repricing capabilities, price elasticity analysis, demand forecasting, and optimization driven by AI. Users can test different pricing methods, impose specific constraints like margin requirements and price limits, and automate pricing adjustments while maintaining complete transparency and audit trails.
Operating at the SKU level, Retailgrid accommodates extensive product assortments and is designed for omnichannel retail environments. Its user-friendly grid interface resembles a spreadsheet, enabling teams to develop personalized metrics, conduct analyses, and implement pricing strategies instantaneously.
Commonly achieved results include enhanced profit margins, improved competitiveness in pricing, and a significant reduction in manual tasks, ultimately leading to a more efficient retail operation. By streamlining the pricing process, Retailgrid empowers retailers to make data-driven decisions that can adapt to market fluctuations and consumer behavior.
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Kuona
Instant availability and visualization big data, sales prediction, and opportunity prioritization. Based on demand prediction, optimization of the suggested assortment per point-of-sale. Artificial intelligence to generate insights, optimize prices and promotions. Automated and real-time monitoring prices and market promotions. Kuona is a technology that uses neural networks to generate predictions with over 97% accuracy. Iterations and scenarios are performed in millions of iterations. Kuona integrates data extraction (data assembly), to the final recommendation automatically. This includes the generation of visualization dashboards and the prioritization or sales prediction.
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