Consumer goods and retail businesses balance customer demand, marketing activity and supply decisions. Our focus includes media mix analysis, promotions, procurement, demand planning and enterprise performance management.
Build a useful view of inventory and demand
Planning starts with understanding what sold, what was available and what could not be fulfilled. Analytics can connect sales, stock movements, supplier lead times and seasonal patterns at a relevant product and location level. Demand forecasts become more actionable when planners can inspect assumptions, adjust for known events and compare forecasts with actual demand. Business consulting can clarify planning responsibilities and replenishment rules before new reporting or forecasting tools are introduced to buying and operations teams.
Evaluate promotions beyond headline sales
A promotion can increase sales while changing margin, stock availability or demand for neighbouring products. A useful analytical scope examines campaign timing, price changes, distribution coverage and customer response together. Teams can compare promoted items with a suitable baseline, document the limits of that comparison and distinguish incremental demand from purchases brought forward. Marketing and commercial reviews can then consider contribution margin, redemption and repeat purchase alongside revenue, making the next promotion a better-informed business decision.
Turn merchandising insight into store action
Merchandising decisions need local context: assortment, shelf availability, store format and the role of each category. A decision workspace can help buyers and store teams investigate slow-moving stock, repeated stockouts or inconsistent execution, then record the action taken.
- Prioritise exceptions: review unavailable core items and excess stock using agreed category rules.
- Compare context: examine location, product lifecycle and promotion status before recommending transfers or markdowns.
- Close the loop: record replenishment or assortment changes and review their effect on availability and margin.
Integrate stores, ecommerce and supply data
Data engineering can connect point-of-sale, ecommerce, warehouse, procurement and customer systems through consistent product and location identifiers. Returns, cancellations and stock reservations need explicit treatment so channels do not tell conflicting stories. Fullstack development can deliver planning portals, supplier exception queues or unified commercial dashboards backed by these foundations. AI assistance may help categorise product information or summarise performance changes for review, while the application preserves the source detail that buyers need to investigate further.
Measure performance with responsible design
Commercial measures should be agreed before delivery. Useful candidates include forecast error, stockout frequency, inventory turnover, sell-through, gross margin and order fulfilment time, with definitions that account for returns and channel differences. Responsible design also means limiting access to customer information, respecting marketing preferences and retaining human approval for consequential pricing or procurement changes. Forecasts and AI-generated explanations should expose uncertainty and supporting data, allowing planners to challenge an output rather than accept it as an instruction.
Scope the next retail improvement
A focused engagement can begin with a category, planning process or channel integration that needs attention. For the initial discussion, describe your product hierarchy, store and ecommerce setup, stock systems, promotion calendar, supplier constraints and current reporting cadence. Share which decisions are slow or difficult and who owns them. We can shape a practical combination of business consulting, analytics, data engineering and application development, then agree a baseline and review process for assessing whether the new workflow is useful.