Out of 405, the Global Startup Heat Map highlights 5 Top Demand Planning Solutions impacting Retail Companies
Startups such as the examples highlighted in this report focus on inventory management, forecasting, and procurement management. While all of these technologies play a significant role in advancing retail, they only represent the tip of the iceberg. This time, you get to discover five hand-picked retail startups.
The Global Startup Heat Map below reveals the geographical distribution of 405 exemplary startups & scaleups we analyzed for this research. Further, it highlights five retail startups that we hand-picked based on scouting criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 400 demand planning solutions impacting retail companies, get in touch with us.
Avercast offers Supply Chain Optimization
Founding Year: 2020
Location: Pune, India
Partner with Avercast for Inventory Management
Indian startup Avercast develops supply chain software systems for demand planning and forecasting. Its forecasting software determines market requirements for daily, weekly, and monthly intervals and features tools to calculate safety stock and plan up to 180 sales periods into the future. The startup also offers retail analysis software that identifies the least and most productive customers and optimizes revenue generation. Working together, these solutions allow retailers to optimize the performance of their stores in multiple locations.
Tradeswell creates eCommerce Trading Platform
Founding Year: 2019
Location: Baltimore, US
Use Tradeswell’s solution for Forecast Automation
US-based startup Tradeswell develops a quantitative eCommerce trading platform. It aggregates and normalizes business-critical data by connecting data from all e-commerce platforms into a single platform. Real-time AI algorithms analyze and monitor the data to track marketing, inventory, and financial data and receive automated insights. Moreover, it uses predictive models to forecast demand spikes while also factoring in demand fluctuations. This automates retail inventory management as well as reduces the risk of stock shortages or overstocking.
Growth Squared offers eCommerce Analytics
Founding Year: 2016
Location: London, UK
Innovate with Growth Squared for Market Price Estimation
UK-based startup Growth Squared develops machine learning-based solutions for e-commerce. Its advanced analytics solution, Quadratx, forecasts demand using algorithms tested and trained on clients’ data. Additionally, it offers Convexity, a pricing system that combines multiple data sources to accurately match market expectations. These solutions improve the top-line growth and capital efficiency of retail businesses.
Curve creates a Sales Prediction Engine
Founding Year: 2017
Location: Tel Aviv, Israel
Partner with Curve for Overstocking Control
Israeli startup Curve develops a sales prediction engine for eCommerce businesses. It uses machine learning to forecast sales by determining the impact of sales history, consumer trends, holidays, and other sales parameters. Moreover, Curve’s solution uses high-volume retail data to provide automated demand forecasting insights. This enables retailers to maintain optimal inventory and forecast sales by store or channel, thereby maximizing sales and returns on investments (ROI).
Imperia advances Collaborative Demand Planning
Founding Year: 2019
Location: Valencia, Spain
Collaborate with Imperia for Procurement Management
Spanish startup Imperia develops software for demand planning with end-to-end visibility. Its ADP platform uses advanced mathematical models and neural networks to provide forecasts about sales. Its forecasting is configurable through selective data aggregation, calendars, product launches, and what-if scenarios. Further, ADP lets users collaborate on planning and budgeting in real time. Imperia’s platform enables retailers to analyze historical demand to optimize stock, reduce product obsolescence and improve their supply chains.
Where is this Data from & how to Discover More Retail Startups?
Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the retail industry. The insights of this data-driven analysis are derived from our Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & lets you scout relevant startups within a specific field in just a few clicks. To explore retail technologies in more detail, let us look into your areas of interest. For a more general overview, download our free Retail Innovation Report to save your time and improve strategic decision-making.