Bungee Tech offers Retailscape, a price optimization software that utilizes machine learning and competitive data analysis to automate pricing workflows and enhance retail operations. The platform addresses the challenge of inconsistent pricing strategies by providing actionable insights that improve profitability and drive sales growth, resulting in measurable increases in conversion rates and catalog expansion.
Funding
$2.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NVFounders
Product
Problem
Retailers often struggle with inconsistent pricing strategies due to a lack of real-time competitive data and the inability to quickly adapt to market changes. Manual pricing adjustments are time-consuming, prone to error, and fail to optimize for profitability across a diverse product catalog. This results in lost revenue, reduced margins, and missed opportunities to capture market share.
Solution
Bungee Tech's Retailscape is a retail price optimization software that leverages machine learning and competitive data analysis to automate pricing workflows and improve retail operations. The platform collects and harmonizes omnichannel data, providing retailers with actionable insights to optimize pricing strategies, improve profitability, and drive sales growth. Retailscape enables retailers to analyze competitive data, identify assortment gaps, and automate pricing adjustments based on margin, product attributes, inventory levels, and competitor pricing. By integrating with existing POS, labeling, and ESL systems, Retailscape ensures consistent pricing across all channels and reduces the risk of errors.
Target Audience
Retailscape is designed for retailers, including grocers, e-commerce businesses, and omnichannel retailers, who need to optimize pricing strategies, improve profitability, and drive sales growth.
Features
- Automated collection and harmonization of omnichannel product and pricing data
- Machine-learning-powered product matching for accurate competitive intelligence
- Customizable dashboards for visualizing market position and pricing trends
- AI-driven recommendations for pricing optimization and assortment planning
- Integration with POS, labeling, and ESL systems for real-time price updates
- Rule-based pricing engine for automating price adjustments based on various factors
- Assortment optimization tools to identify product gaps and improve product mix
- Competitive Price Index (CPI) to quickly view market position