From shelf to signal.
We help retailers and consumer goods companies turn sales and customer data into better demand forecasts, assortment choices, pricing, and marketing decisions.
Business problems, practical approaches
Explore common challenges in retail & cpg and the analytical approaches that can help address them.
Demand forecasting overhaul
A consumer goods planner ran monthly spreadsheet forecasts that missed demand swings, causing frequent stockouts on fast movers and overstock on the long tail.
Built a hierarchical forecasting model with promotional and seasonality features, served directly into the planning tool.
SKU assortment rationalization
A bloated SKU range inflated logistics cost and confused shoppers, but merchants were reluctant to cut anything that still sold.
Modeled each SKU’s incremental contribution accounting for substitution and halo effects.
Promotion & marketing mix modeling
Marketing could not tell which promotions drove incremental sales versus simply pulling demand forward.
Marketing mix model with promo lift decomposition and diminishing returns curves.
Personalized offers
Batch and blast email campaigns showed falling engagement and eroding relevance.
Propensity and next best offer models feeding the CRM in near real time.
Explore other industries
Let us solve your next business challenge
Tell us about your business challenge. Together, we can clarify the decision, explore where analytics and software can help, and outline a practical next step.
Contact details will be available when the site launches.