CPG Supply Chain Automation

AI-driven forecasts in Solvoyo’s demand planning pick up consumer demand shifts early. They use external demand drivers such as weather signals and retailer POS data, so the plan reflects true market momentum before it shows up in shipment data. Channel-level forecasts adjust when the retailer network or portfolio mix changes, so distribution gains, losses and assortment shifts show up in the plan.

Solvoyo models promotional lift and cannibalization automatically, so trade plans reflect net incremental impact. New product launches use attribute-based forecasting built on similar-item learnings. Product substitutions are managed automatically, which closes forecast blind spots when assortments change.

Demand, production, materials and distribution run on one planning model. Teams can put demand and supply alternatives side by side and simulate them before committing to a plan. That removes the data handoffs, version conflicts and lag that build up when disconnected point tools have to talk to each other across the supply chain. It also gives decision-makers a what-if view of supply disruptions, demand spikes and constrained capacity, without going back to spreadsheets.

Production planning in Solvoyo validates and schedules capacity against real operational constraints: available lines, active shifts and changeover times. Demand signals feed production sequencing directly, so manufacturers get feasible, executable schedules without a manual reconciliation loop between sales, planning and the plant floor.

CPG manufacturers run multi-tier distribution networks: regional DCs, co-manufacturers and direct customer delivery points. Automated multi-echelon distribution calculates net replenishment requirements at every node at the same time. It factors in production schedules, transit times, vehicle capacity, promotional uplift and customer-specific OTIF commitments, so distribution plans stay feasible and no echelon plans its own replenishment in isolation.

When supply is constrained, Solvoyo prioritizes available inventory for the most commercially critical customers and channels first. That protects key account service commitments and minimizes retailer deduction risk before a distribution decision reaches a planner’s desk.

Solvoyo’s transportation and fulfillment planning automates replenishment, distribution requirements planning, concurrent fulfillment optimization and transportation decisions across the whole network. It balances inventory flow and transportation cost at the same time, with no manual step at each node, so planners work the exceptions.

AI-driven recommendations allocate and optimize trade funds. They identify the highest-return promotional investments across customers, channels and time periods, so each trade dollar goes where it adds the most incremental volume, revenue and margin.

Solvoyo evaluates promotional plans with forecasted lift and cannibalization effects. Revenue growth management and sales teams see expected ROI before they commit budget, and get a reliable post-event baseline to measure true incrementality afterward.

Planning cycles that once took days now finish in hours. CPG teams run more scenarios, respond to demand shifts mid-cycle and make decisions without waiting for the next S&OP meeting.