Most retailers already have a forecast. The real leak is everything that happens between the demand plan and the final purchase order. Hours disappear as buying teams hunt for suppliers across fragmented portals, manually track commodity prices, guess whether a quote is reasonable, and copy data between systems to build POs. That operational gap is where stockouts, overstock, and margin erosion quietly accumulate.
Duvo's new AI skills for multi-category retail are built specifically for this gap. From discovering better suppliers to automatically generating stress-tested purchase orders, these skills turn the workflow between forecast and PO into something that runs continuously — not something that waits for a planner to find the time.
Category and buying teams in multi-category retail are not short of data. They are short of time. Sales history sits in the ERP, supplier terms are documented, and promotional calendars exist — but translating all of that into timely, accurate purchase orders still requires manual effort across multiple systems every single week.
A category manager might check inventory in SAP, cross-reference the demand plan in a spreadsheet, log into a supplier portal to verify availability and pricing, then manually create the PO back in the ERP. Multiply that by hundreds of suppliers and thousands of SKUs and the result is predictable: teams default to reactive ordering. They wait until stock is critical before acting, by which point lead times guarantee a gap on the shelf.
The cost is not just lost sales. It is weaker negotiations because teams lack time for proper preparation, missed opportunities to onboard better suppliers, and margin erosion because nobody caught that a key commodity price dropped three weeks ago. The solution is not more data or better dashboards. It is AI that executes the work between insight and action.
Building and refreshing a competitive supplier panel is one of the highest-value activities in retail procurement, but it is also one of the most time-consuming. Buyers typically rely on existing relationships, trade shows, and manual searches across fragmented portals and directories — a process that can take weeks per category.
Duvo's Supplier Discovery skill changes this by enabling retailers — not just grocery, but across all categories — to describe what they need in plain language. A buyer can simply say "Find me trending pet food suppliers in Europe" or provide category-level guidance, and the skill searches across scattered trade sources and portals to return a curated shortlist with the signals that matter: category fit, geography, certifications, and market momentum.
This turns supplier scouting from an occasional, exhausting project into a continuous, always-on process. Category managers get fresh supplier options without burning days on research, which means more competitive panels, better assortment decisions, and more time spent on actual negotiations rather than hunting for names.
Input costs in food commodities move faster than most annual or semi-annual supplier agreements. When a key ingredient or raw material drops significantly, retailers with fixed-price contracts are effectively overpaying — but without systematic monitoring, most teams only discover this during the next scheduled review.
Duvo's Commodity Price Tracker monitors food commodity prices and flags when a supplier's underlying input costs have gotten significantly cheaper — giving category teams a clear, timely signal that it is time to re-negotiate. Instead of relying on ad-hoc checks or analysts maintaining manual spreadsheets, buyers receive alerts when a specific supplier relationship is out of line with the current market.
This gives buying teams a data-backed reason to revisit pricing proactively, before margin erosion quietly accumulates across the P&L. It also signals to suppliers that you are watching the same external benchmarks they are, which changes the dynamic of the negotiation entirely.
For grocery categories like dairy, bakery and confectionery, a single SKU can contain layers of cost assumptions that are invisible in a supplier quote. Without a structured cost model, buyers are often negotiating from a "finger in the air" benchmark — comparing quotes to last year's price rather than to what the product should actually cost to produce.
Duvo's Should-Cost skill takes a dairy, bakery, or confectionery SKU and tears it down into its core cost components: raw materials, labour, packaging, overheads, and supplier margin. The output tells grocery retailers exactly how much they should be paying for that given SKU, based on current input costs and standard production assumptions.
This shifts the negotiation conversation from "this feels expensive" to "here is where your quote diverges from the underlying cost structure." The result is more grounded supplier conversations, more consistent margins at scale, and a procurement team that walks into every negotiation with preparation that used to take days compressed into minutes.
Retailers manage thousands of SKUs across suppliers and locations. The gap between having a demand forecast and placing the right purchase orders is where stockouts, overstock, and margin leaks happen. Most replenishment and planning tools stop at producing a forecast or a suggested order — somebody still needs to validate the numbers, check inventory, confirm supplier capacity, respect budgets, and manually build the PO.
Automatic Ordering closes that gap. Each SKU runs through up to seven validation gates:
Forecast Validation — Is the demand signal trustworthy? Catches a forecast that is 5x last year with no promo to justify it.
Inventory Position — Do we actually need to order? Finds you already have 45 days of supply sitting on-hand plus on-order.
Supplier Validation — Can the supplier fill this? Flags that lead time just jumped from 5 to 12 days.
Financial Approval — Can we afford it? Stops orders that would blow the category open-to-buy budget.
Logistics Feasibility — Can we receive and store it? Warns that the DC is at 92% capacity with no room for a full pallet.
Business Rules — Does this comply with our policies? Blocks a new PO for a delisted SKU.
External Signals — What is happening outside our four walls? Accelerates orders ahead of a port strike or adjusts for a competitor store opening nearby.
Every gate is optional — the skill works with whatever data you have and tells you which checks were applied so you know the confidence level. Each order line gets one of three outcomes: auto-approve, adjust and approve (for example, rounded to MOQ), or hold for review with full context for the buyer. Teams can stop building POs manually and focus on the exceptions that need human judgment.
Most procurement and planning tools produce recommendations. They generate replenishment proposals, exception reports, and supplier shortlists — but a human still needs to execute the work across systems. For multi-category retailers managing complex supplier portfolios, that execution gap is where margin and availability are lost every day.
Duvo closes this gap with AI skills that operate as a connected workflow, not isolated tools. Supplier Discovery feeds better options into your sourcing pipeline. The Commodity Price Tracker flags when supplier inputs have gotten cheaper so you re-negotiate at the right moment. Should-Cost Analysis ensures your team knows what they should be paying before they sit down at the table. And Automatic Ordering converts the demand plan into validated, stress-tested purchase orders — auto-approving the clean ones and surfacing only the exceptions that need a buyer's judgment.
The result is a closed loop from insight to action. Buyers stop spending time on commodity admin and start focusing on the decisions that differentiate the business — assortment strategy, supplier partnerships, promotional planning, and margin management. Book a demo today to see how Duvo's retail skills work with your existing systems in weeks, not months.