Omnia Retail

Start by connecting your catalog, cost data, and ad channels, then segment your assortment by goals like margin target, price index, or lifecycle stage. Use the no-code rule builder to set guardrails such as floors, ceilings, rounding, and MAP compliance. Define how often prices should update and where changes should go: website, marketplaces, and feeds. Before going live, run a preview on a sample of products to see predicted price points, expected margin, and traffic impact. Approve, schedule, and roll out with one click, knowing you can pause or roll back any time.

In day-to-day use, open the command center to see market shifts, stock signals, and cost changes. The system flags opportunities and risks: match a competitor within a tolerance, raise price when rivals are out of stock, or throttle discounts when margin dips. Accept a recommendation or let automation apply it across every affected SKU and channel. Marketing bids update in sync with price and margin, so you stop overspending on low-return items and push harder on profitable ones. Every change is logged with who, what, when, and why, giving your team a clean audit trail and quick troubleshooting when exceptions appear.

For promotions and peak periods, build event playbooks. Simulate discount ladders, forecast volume and profit by segment, and set caps on CAC and price index. Schedule start and end times, then push updates to Google Shopping, Amazon, your site, and POS simultaneously. Tie bidding rules to profitability buckets so CPCs scale with unit economics. If items are MAP-protected, keep them steady and reallocate spend to flexible substitutes. Cross-border teams can factor taxes, FX, and local competitors to keep positioning consistent without manual spreadsheets.

After launch, measure what changed and why. Review weekly reports on revenue, gross profit, price index vs key rivals, buy box wins, and promo lift. Drill into outliers to fine-tune rules or enrich data. Export results to BI via API or CSV, or trigger webhooks to notify merchandisers and finance. Use role-based permissions to separate policy design from approval, and route edge cases to an exceptions queue. Test new strategies in a sandbox, then promote them to production when results look healthy. Over time, you replace repetitive edits with policies, reclaiming hours each week while holding margins and maintaining a consistent market stance.