Oversells
Inventory is allocated to more than one channel at once, with no central reservation layer to stop it
Manage inventory availability and promising across a distributed network
Available-to-promise (ATP) software decides the delivery date and stock status your customer sees at checkout. When that logic runs on static rules, the promise drifts away from the stock you hold. Your business absorbs the gap as canceled orders, customer service contacts and sales you never should have lost.
That gap shows up as delivery dates you can’t honor and oversells when the same unit is promised to two customers at once. You also miss sales when inventory shows as unavailable because the system only checks one location.
Infios Order Management (OM) closes the gap. Infios OM replaces static ATP rules with dynamic promising logic that reads real inventory availability across distribution centers (DCs), stores and third-party logistics (3PL) providers when an order is placed and as conditions change.
The problem: static promising logic cannot keep pace with a distributed network
Every location added to a fulfillment network adds another place where stock can be wrong and another way a commitment can fail. Most promising logic was never built for that. It checks one position against one set of rules. It doesn’t recalculate when stock moves, a carrier slips or another channel claims the same unit. Three gaps do most of the damage.
Inventory positions that lag the network
The system of record and the physical shelf rarely agree. The gap between them widens with every extra node in the network.
Inventory across DCs, stores and 3PLs updates asynchronously. The system position lags what's physically on the shelf or the truck.
The system doesn’t distinguish allocated from available inventory. It oversells in one direction and promises too conservatively in the other
No single view shows network-wide availability at the point an order is captured. Promising decisions get made on partial information.
Promising rules built for one location, not a network
Most ATP logic was designed for a single warehouse, and it still behaves that way even after the network has grown well past it. ATP rules run on fixed safety stock thresholds and planned replenishment dates instead of real-time availability. The same rules apply to business-to-business (B2B), direct-to-consumer (DTC) and marketplace orders, even though each has a different service requirement. Promising logic can't dynamically select the best fulfillment node when stock exists in more than one location.
Oversells and missed sales, same root cause
Oversells and missed sales look like opposite problems. Both come from a promising engine that can't see the whole network at once.
Missed sales
Conservative promising rules show an item as unavailable while stock sits in a secondary node
Unmet delivery dates
Failures in checkout promises damage customer trust and generate avoidable customer service contacts
The cost of getting promising wrong
When you can’t keep a delivery promise, you may breach the service level agreements (SLAs) you’ve signed with customers. Conservative promising hides sales the network could have fulfilled. Every avoidable exception routes to customer service, which absorbs cost the promising engine should have prevented in the first place. The answer is a promising engine that sees your whole network.
Is your availability number a count or a commitment?
The solution: how Infios OM enables accurate, dynamic inventory promising
Infios OM keeps making the promising decision after checkout. It brings Intelligent Supply Chain Execution™ to order promising. It senses when inventory shifts or a carrier slips and decides the best path across cost, speed and SLA. Then it acts, rerouting the order or updating the promise before the customer notices.
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Distributed inventory visibility gives you a unified view of available, allocated and in-transit stock across every node. Real-time inventory availability replaces the daily batch cycle, so the date or badge a customer sees reflects what’s on the shelf now.
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Dynamic ATP logic checks whether a specific location can fulfill a specific order by a specific date. It uses real-time visibility into physical, in-transit and future stock along with your allocation rules, so the promise is a commitment, not a count of unreserved stock.
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Inventory segmentation prioritizes stock by channel, customer tier or location, so B2B, DTC and marketplace orders draw on the right inventory.
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Promising logic evaluates availability across your full network and selects the fulfillment node with the right stock at the best balance of cost, speed and service level when the order is captured. It reevaluates as conditions change.
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A reservation layer holds stock for the intended order, channel or use. Competing demand can’t claim the same unit. That closes the gap behind most oversells.
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Channel-specific buffer logic protects high-priority channels from being undersupplied when demand spikes elsewhere.
Promise delivery dates against the stock you have
Business outcomes: what accurate inventory promising delivers
Once real-time visibility, dynamic ATP logic and central reservation are running underneath your promising engine, risks turn into measurable gains. Using Infios OM for inventory promising, you can expect:
Fewer delivery promise failures caused by inaccurate available-to-promise logic
A lower oversell rate and less customer service cost from avoidable exceptions
Higher checkout conversion from delivery promises customers can trust
Better inventory utilization from network-wide visibility at the point of promising
Use cases in action: how Infios OM customers keep inventory accurate across every channel
Komar eliminates oversells across more than 25 channels
Once-daily inventory updates left Komar exposed to oversells and stockouts across its digital, wholesale and marketplace channels. Infios OM moved Komar to a 15-minute inventory refresh and helped eliminate oversells across more than 25 channels. Order release dropped from eight hours to eight minutes. Customer service saw 40 percent fewer missing purchase order tickets.
Saddle Creek Logistics Services prevents overselling across 3PL client inventory
Saddle Creek Logistics Services needed an order management system it could configure for each client and roll out without IT dependency. Virtual inventory segmentation in Infios OM prevents overselling by reserving stock for specific uses, such as wholesale replenishment. Product stays available to end customers regardless of where the order originates.
Measuring inventory promising improvement
A handful of metrics tell you whether promising is working as a network asset:
Delivery promise accuracy is a customer experience metric and a commercial one. Businesses that promise and deliver with confidence convert more customers and keep them longer.
Getting started with accurate inventory promising
You don’t need to switch every channel to network-wide promising on day one. Start with the channel carrying the most promise failures or the highest exception cost. Prove out dynamic ATP and node selection, then expand rule by rule across the rest of the network.
Talk to Infios about accurate inventory promising across your network.
FAQs
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Available-to-promise software is the logic that decides what you tell a customer about delivery, based on inventory position across the network. An inventory promising Order Management System (OMS) runs that logic in real time instead of against fixed rules.
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Static ATP checks stock against fixed safety thresholds and planned replenishment dates, which often amounts to available-to-sell: on-hand stock minus committed orders. Dynamic ATP checks whether a specific node can deliver the order by the promised date, using updated physical, in-transit and future stock and your allocation rules.
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Most oversells come from promising rules that don’t reflect updated stock positions or inventory allocated to more than one channel with no central reservation layer.
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Inventory reservation and segmentation hold stock for its intended channel or use. Competing demand can’t claim it. Network-wide visibility and node selection also surface stock in secondary locations, so items don’t show as unavailable when stock exists elsewhere.
Keep the promise after the order is placed
Additional Resources
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The end of siloed supply chain execution
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From alerts to action in supply chain execution
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