Crisp – Retail Data Platform, Conversational AI & Workflow Automation

#Quasa #QUA #Crisp

Crisp is a retail data and AI platform from the company co-founded by Are Traasdahl and Dag Liodden. Its Halo platform supports consumer packaged goods brands, retailers, distributors and brokers. It gathers retailer and distributor data, standardizes records across sources, and adds retail business definitions for analysis. Teams can explore sales and inventory through conversational questions, trace recommendations to underlying data, automate workflows and schedule reports. Its solutions also cover forecasting, replenishment and shelf planning. Halo can run as a hosted platform or within supported customer cloud environments. Public plan prices could not be confirmed; check the official website for current pricing and subscription details.

𝗖𝗢𝗥𝗘 𝗦𝗧𝗥𝗘𝗡𝗚𝗧𝗛𝗦
• Standardized sales and inventory data
• Conversational analysis of retail records
• Recommendations traceable to source data
• Automated workflows and scheduled reports
• Store and product level visibility

𝗜𝗗𝗘𝗔𝗟 𝗙𝗢𝗥
Crisp suits retail and consumer goods teams coordinating sales, inventory and supply chain analysis across multiple trading partners.

𝗛𝗜𝗚𝗛𝗟𝗜𝗚𝗛𝗧𝗦
• Hosted Halo platform option
• Deployment within Databricks environments
• Deployment within Snowflake environments
• Deployment within Google Cloud environments
• Forecasting and order automation tools

𝗣𝗢𝗧𝗘𝗡𝗧𝗜𝗔𝗟 𝗖𝗢𝗡𝗦𝗜𝗗𝗘𝗥𝗔𝗧𝗜𝗢𝗡𝗦
• Confirm pricing and included modules
• Verify required retailer data connections
• Check refresh frequency by source
• Assess deployment and governance requirements
• Validate AI recommendations against source records

𝗢𝗩𝗘𝗥𝗔𝗟𝗟 𝗩𝗘𝗥𝗗𝗜𝗖𝗧
4.1/5 stars. Use Crisp when retail teams need consolidated data, conversational analysis and recurring workflow automation. Confirm data coverage, deployment requirements and subscription costs first. Earn 1 QUA reward by reviewing on Quasa.io too!

𝗚𝗘𝗧 𝗦𝗧𝗔𝗥𝗧𝗘𝗗: https://quasa.io/projects/crisp