Essentials vs extras: CPG tech stack guide (2025)
The right tech stack means the difference between agility and overload. Manufacturers who can discern essential, scalable solutions will see greater cost efficiency and success with AI.
Tackling 2025 retail challenges with planning and promotions
How brands can build a resilient strategy that unites demand planning and promotional spend for maximum impact, leveraging Promomash and Crisp.
J.M. Smucker leads Target’s pet aisle growth with real-time intelligence
Katie Asleson, Category Manager for dog treat brands like Milk-Bone and Pup-Peroni, employs SOLYS by Crisp for daily decision-making.
Wow your retail partners with a collaborative data approach
Retailers today need proactive partners – suppliers who initiate strategic conversations backed by solid, indisputable data.
Introducing AI Blueprints: Unlock actionable insights with AI-ready pre-built templates
Streamline complex analytics workflows & tackle challenges like anomaly detection, store clustering, and on-shelf availability with ease.
Crisp achieves ISO/IEC 27001 and ISO/IEC 27017 certification to safeguard information security
New ISO certifications solidify Crisp as the gold standard in data sharing for the retail industry.
Supplier guide to unlocking retail data in every department
Learn how to harness clean retail data across every CPG team and system to improve decision-making and drive real business outcomes.
Five AI strategies for smarter category management
Unleash the power of AI in retail analytics to drive assortment planning, inventory optimization, and overall category growth.
With Crisp and Snowflake, PopSockets gets a grip on expansive retail data
Crisp integrates all of PopSockets’ retail data into Snowflake, enabling a timely, granular view of performance to make sales at every store pop.
The agile approach to seasonal category management
With holiday plans underway, it’s time to measure, respond, and refine. Discover how real-time data empowers smarter decisions in Q4 – and for the year ahead.