5 Steps to Optimizing Inventory With Order Management Systems

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5 Steps to Optimizing Inventory With Order Management Systems

In the quest for perfect last-mile delivery, retailers often overlook a critical factor: the first mile. 

While discussions around optimal replenishment and streamlined fulfillment are gaining traction, the crucial link between the two — ensuring inventory is optimally located for that final leg — remains underexplored. This connection is essential for meeting evolving consumer expectations around speed, convenience and sustainability. This is especially true with shoppers demanding ultimate agility at the lowest possible price, forcing retailers to consider diverse fulfillment options like click and collect, ship from store, micro-fulfillment centers, and various logistics models. 

However, these strategies can only succeed if inventory is already close to where demand truly lies. Optimized inventory planning, therefore, means prioritizing the last mile first. This is where a robust Order Management System (OMS) becomes paramount.

To help you perfect last mile delivery, we’ve rounded up five key considerations for achieving inventory optimization with your OMS.

1. Location, location, location: aligning demand and fulfillment

At present there is a split between how demand and fulfillment locations are measured. For example, if you’re a fashion retailer with your stock of summer clothing located in a region that is expecting rain for the next day, while demand is actually coming from hundreds of miles away in the middle of a heatwave, you may have planned overall replenishment effectively, but speedy fulfillment will be a challenge.

The way retailers are currently using siloed planning data to replenish and drive inventory placement is going against the grain of convenience for the customer. Adapting to real-time events and resultant demand hotspots, in real time, is likely to be too late. 

Instead, an OMS integrates anticipated surges in demand into initial inventory placement planning through a combination of data analysis, forecasting and flexible inventory allocation. Rather than reacting to demand, OMS uses intelligent forecasts and scenario planning to provide a proactive approach, reducing delays and maximizing customer satisfaction by ensuring stock is available where and when demand is expected to surge.

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2. “Speed and convenience” are more than just buzzwords

It sounds obvious, but it’s worth banging the drum one more time for those who think they already have a better grasp on consumer demand in the omni-channel era. The adoption of artificial intelligence (AI) tools to better respond to consumer demand is a step change, for sure, but the interconnectivity of supply chain solutions, across planning and order management, is where decision makers should now be looking.

Note: Convenience doesn’t just mean “as quick as you can.” Sometimes, it might mean: “right now,” and you can only meet that demand if your inventory is nearby.

3. The “right now” requirement

If replenishment is being planned according to where demand really is and where optimum fulfillment can be achieved, you will naturally improve delivery speed. But what this improved planning also buys you is a level of flexibility to respond immediately to customer needs. 

Customer situations can change according to the weather, regional events, spontaneous decisions, unforeseen breakages or losses. If you’re constantly fulfilling from rigid and static points of replenishment, you’re not just tarnishing cost and environmental efficiencies — you’re missing the convenience boat altogether.

Getting inventory in the right place from minute one is cheaper, more sustainable and allows for the “right now” purchases that customers are increasingly seeking. Connecting planning with OMS aligns last-mile fulfillment and improved inventory placement with real-time delivery capacities, markdown objectives and optimal stock utilization

4. Be more “holis-tech"

Typically, retailers are looking at order management and the orchestration of fulfillment options in one column; and planning as a second, disconnected function.

Left out of the equation altogether is inventory placement, which is not currently seen as part of a traditional order management platform. What is critical moving forward, is a more holistic view of tech infrastructure, to bring fulfillment trends into the initial inventory planning process.

To simplify this notion, think of future order management as three legs of a tripod, peaking together at the top:

  • Replenishment of inventory in the right location
  • Orchestrating the correct fulfillment location
  • Executing that fulfillment with the requisite scope of choice and logistics partners in tow

 

This integrated approach is the hallmark of a modern OMS.
 

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5. Get the first mile right

Changing the mindset around the tech at retailers’ disposal isn’t easy, considering that most traditional order management solutions have never sought to make this connection with inventory planning. They advise optimum fulfillment, but don’t account for the inventory being in the right place. Shortfalls in nearby stock inevitably lead to dissatisfied customers should orders be delayed on account of longer distribution times. And this is before you address the unnecessary costs and emissions used to make that longer — late — journey.

This can all be offset by making delivery times as short as possible, courtesy of stock already being on customers’ doorsteps. Improving last mile costs of delivery, speed of fulfillment, flexibility of fulfillment options and sustainability throughout, all relies on where you’ve planned that inventory to be during the first mile.

Enhancing order management through AI

Retailers need to be thinking of inventory assortment, placement and management as part of their order management conversations. In this respect, replenishment and planning must be part of the same process, connected by the data at an organizations’ disposal.

AI helps to veer away from static methods traditionally used in most order management platforms, towards a dynamic model that considers the most efficient, sustainable, quick and appropriate location for inventory, so that fulfillment is optimized.

Known as cognitive inventory or probabilistic inventory, the human brain is unable to plan at such a complex scale. But with AI, retailers can now prepare for a future where stock is always where it’s most needed, at the right volume. The power of connecting planning with OMS then unlocks optimal guidance around that inventory’s utilization and delivery decisions.

The result? Increased sales, improved conversion rates, enhanced customer experiences, greater sustainability and improved margins — all driven by a focus on the first mile through your OMS. 
 

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