Disconnected demand signals and delayed market feedback slow response cycles. We build systems that simulate demand, optimise distribution, and improve promotion effectiveness across markets.
Evaluate the performance of marketing campaigns, creative formats, and channel strategies using data to guide design decisions that drive brand growth and consumer engagement.
Build propensity and segmentation models that deliver the right offer to the right consumer at the right time, improving promotion ROI and reducing blanket discounting.
Monitor consumer opinion across reviews, social media and feedback channels using NLP powered sentiment models to inform product, marketing, and brand strategy.
Align production schedules and inventory levels with demand forecasts, reducing overstock, write offs and supply disruptions across SKUs and distribution networks.
Measure brand health, track affinity shifts across consumer segments, and identify cross brand purchase patterns to guide portfolio strategy and marketing investment.
Gain end to end visibility into sourcing, logistics, and distribution performance, identifying bottlenecks and cost drivers that erode margins across the supply chain.
Decode purchase patterns, switching behaviour, and category dynamics using advanced analytics to uncover growth opportunities and sharpen go to market strategies.
Build dynamic pricing models that balance volume, margin, and competitive positioning, enabling consistent price pack architecture decisions backed by data.
Most beverage manufacturers struggle to predict bottle returns accurately, leading to excess packaging injections, avoidable capital expenditure pressure, and unstable production planning across markets. A global beer manufacturer faced this challenge while managing large scale circular packaging operations. ZDS built forecasting models that improved return visibility, sharpened injection planning, and reduced packaging waste across regions.
Agencies managing multiple brands and fluctuating client demand often struggle when revenue forecasting, resource planning, and utilisation tracking operate in isolation, creating planning gaps and delaying decisions. A US based digital media and advertising agency faced this challenge while managing campaigns across retailers and consumer packaged goods brands. ZDS built forecasting pipelines and Tableau dashboards that unified revenue visibility, automated reporting workflows, and improved planning accuracy across teams.
Consumer purchase behaviour rarely follows category structures, and brands often lose revenue when cross category buying patterns remain invisible. A leading consumer packaged goods company operating across online and offline retail channels needed a scalable association analytics framework to uncover hidden product relationships, improve promotional targeting, and help marketing teams optimise spend allocation through data backed basket intelligence.
Tell us about your data challenge and we'll come back with a clear, actionable plan — no jargon, no fluff, just a path forward.
