Managing products across multiple channels and the entire product lifecycle is essential to maintaining profitability and competitiveness. And doing so is even more mandatory today as consumers are armed with an unprecedented amount of real-time information on product choices, price and promotional offerings and availability across all channels.
But while consumer packaged goods manufacturers and retailers realize the need to meet consumer expectations at the point of influence and purchase, manufacturers have typically based their demand planning processes solely from a view of shipments out of their distribution centers rather than an order forecast driven from actual consumer demand in the store.
With improved technologies in the e-commerce channel, supplier and retailer trading partners realize the need to effectively collaborate at the shelf level not only for optimal supply chain alignment for current and future product orders but to also increase their competitive advantage and enhance profitability.
Don’t let the data stop you
Retailers are increasingly leveraging shopper-level data and shifting from regional assortments and shelf sets to more consumer-driven offerings. They are migrating from disconnected distribution center (DC) and store replenishment programs in favor of multi-echelon, time-phased plans that leverage point-of-sale (POS) data.
These shifts are driving a new level of information available to suppliers and enhanced trading partner collaboration opportunities that can drive upstream supply chain requirements and produce time-phased order projections driven from the store shelf signal. As a result, significant disconnects between true demand and available supply can occur.
And while most suppliers agree that driving a plan from shelf sell-through to the consumer is more effective than basing the plan on shipment order information, doing so involves a tremendous amount of data to navigate and analyze. And the challenge to translate that data into executable information remains.
Obstacles such as reconciling product definitions with retail trading partners and aligning customer hierarchies arise. Technology systems’ inability to scale properly has also historically presented a barrier to entry. Supply chain planning groups face constraints in their ability to aggregate, analyze, collect and manage their company’s supply chain solutions based on consumer sales—both from a tactical perspective and a planner time investment perspective.
Furthermore, much of the data available to manufacturers is not incorporated effectively into their organizations:
¦ Cross-functional team data collected from large retailers is not formally integrated into corporate supply chain planning
¦ Corporate planners still rely on shipment/order history from their plants as the primary input to consensus demand planning instead of POS data from their largest key retail customers
¦ POS is shared but is insufficient in isolation to drive a shift to a demand-driven supply chain
While POS data represents the purest form of consumer demand and provides a critical shelf-level planning input, it alone is not sufficient to optimally plan the supply chain. It doesn’t provide visibility into such factors as future promotions, supply chain and replenishment strategies, retailer assortment changes or resets and other factors.
For optimal results with their retail partners, suppliers must be able to model the impact of these areas in an efficient manner to move beyond today’s “within the four walls” view to one that spans the end-to-end, cross-enterprise and shelf-connected supply chain.
What defines a shelf-connected supply chain?
In the shelf-connected supply chain, manufacturers collaborate with their distribution and retail customers to plan an optimal product assortment and planogram for each store. They then develop and synchronize their demand and inventory replenishment plans driven by consumer sales. This framework integrates a manufacturer’s planning and execution processes and systems to better align the enterprise with consumer demand.