CPG & Retail
From demand forecasting to replenishment and assortment optimisation, BigTapp takes retail and CPG's highest-value decisions into production AI, built on Supply Quotient, reusable accelerators and trusted retail data foundations, so revenue, stockouts and customer experience improve at scale.
Why AI matters in retail & CPG
Retail and CPG industries face constant disruption from shifting consumer behavior, rising operational costs, and fragmented data inventory holdings. Without real-time intelligence, enterprises struggle to predict demand, manage promotions, and optimize inventory across channels. AI-driven automation and advanced analytics are now critical to maintaining competitiveness, improving margins, and building sustainable supply chains.
Across the retail and CPG landscape:
• 35% of retailers cite poor demand visibility as top challenge
• 25% of stockouts occur from inaccurate replenishment
• 40% of trade promotions fail to deliver ROI
Nobody got it wrong. You still lost the margin.
Demand planning forecast accurately. Supply chain protected fill rate. Sales hit volume. Finance found out at close. Every team met its target, and the margin still leaked between them, because a signal that should have changed an order had to cross four systems and two meetings first.
BigTapp closes that distance. Supply Quotient agents read the demand signal, weigh it against live stock and margin, and propose the order, the transfer or the delist, with a person approving what matters. The forecast stops being a report and becomes a decision.
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Start small. Prove value. Scale what works.
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Identify
Select a high-value retail problem with clear business KPIs.
Prove
Build a focused MVP or production pilot with the required data, controls and integrations.
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Operationalize
Embed AI into the actual retail workflow, not just a standalone demo.
Scale
Reuse agents, data products, connectors and accelerators across adjacent use cases.
Compound
Build toward a broader AI-first operating model as successful use cases accumulate.
AI across the retail value chain
From forecasting demand to replenishing shelves, planning assortment and engaging customers, put intelligence where retail decisions happen.
Demand Forecasting
Predict sales at SKU and store level, reading seasonality, weather and promotions, so stock follows real local demand.
Planogram Compliance
Use shelf-image recognition to check planogram compliance store by store, and flag where the shelf drifts from plan.
Assortment & Shelf Planning
Recommend the right SKUs per region, cluster and season, and retire the lines that only occupy space.
Retailer Churn Detection
Spot retailers at risk from slowing orders and shrinking baskets, while there is still time to act.
Personalised Engagement
Drive loyalty and conversion with behaviour-based targeting across every customer touchpoint, inside the offers and limits you approve.
Automated Replenishment
Turn each forecast into the right order and inter-store transfer with Supply Quotient, cutting both stockouts and dead stock.
When AI needs better data, we build that too
Reference Data Model
Common business language across products, SKUs, stores, channels, customers and suppliers.
Data & Platform Engineering
Cloud data platforms, integration, migration, governance and modernisation.
Intelligent Document Processing
Turn supplier contracts, invoices, trade terms and promotion agreements into decision-ready data.
Supply Quotient turns your forecast into a decision
Supply Quotient is BigTapp's AI decision system for retail and FMCG supply chains, built on Beeonix and governed by design. It turns each forecast into a decision, with a person in control.
From retail use cases to production AI
Solution Packs, Accelerators and Beeonix work together to help retailers and CPG brands move from a priority use case to measurable business value, faster and with lower risk.
Numbers over narratives.
How retailers and CPG brands have put AI to work, from automated replenishment and retail analytics to real-time upsell, with results they can measure.
