Protect Margin From First Price to Final Markdown

Set initial prices systematically across every SKU and category — balancing gross margin targets, competitive positioning, and price architecture rules in a single workflow rather than relying on spreadsheet-based calculations that are inconsistent across buyers and difficult to govern at scale. AI-driven recommendations factor in cost structures, target margin thresholds, competitor price points, and channel-specific pricing strategies — so the first price a product enters the market at is commercially optimized from day one, creating the maximum possible full-price selling window before promotional or markdown activity begins eroding the margin built into the original price architecture.

Evaluate promotional plans against historical lift, cannibalization, and pantry-loading patterns — delivering full visibility into net impact across volume, revenue, and profitability before budget is committed.

Grocery retailers can build weekly circular plans with a digital workflow— with category managers and central planners collaborating in a shared online environment where promotional selections, quantities, pricing, and budget allocations are reviewed, adjusted, and approved in a single process rather than coordinated across emails and disconnected spreadsheets. Each promotion is evaluated against historical lift, cannibalization, and pantry-loading patterns before commitment — delivering full visibility into net impact across sales volume, revenue, and profitability so trade spend decisions are grounded in true incrementality rather than gross volume on the promoted item. A complete governance and audit trail is maintained across every banner and every planning cycle, giving finance and commercial teams the accountability and traceability that manual promotion processes can never reliably provide.

Adjust list prices against live demand signals, competitive moves, and inventory positions — with AI recommendations that balance revenue and margin so planners never have to chase a constantly shifting SKU portfolio by hand.

Optimize markdown timing and depth at the SKU or color-option level against remaining shelf life, sell-through velocity, competitor actions, and margin targets — recovering value before obsolescence forces a write-off and maximizing margin while achieving end-of-life sell-through targets.

Generate store-level markdown recommendations from remaining shelf life and current inventory position — pinpointing the optimal discount window per SKU to recover value before spoilage, replacing blanket clearance policies with a margin-protective strategy that cuts waste without sacrificing peak-hours availability.

Stop leaving trade dollars on the table. Solvoyo optimizes your trade funds by recommending the right promotion for every channel-product combination — not a one-size-fits-all calendar, but granular guidance on which SKUs to promote, in which retail channels, at what depth, and when. Solvi, your AI planning agent, continuously analyzes baseline demand, competitive activity, and historical promotion performance to recommend reallocations across your trade budget, shifting spend toward high-return channel-product pairs and away from underperforming ones. You stay in control — every recommendation comes with the projected volume, revenue, and margin impact, so your trade marketing and revenue growth management teams can approve, adjust, or override before a single dollar is committed.

Turn thousands of price points into a manageable set of decisions, with Solvi doing the analysis, flagging what needs attention, and recommending the move — so your planners spend their time on judgment, not data gathering.