Business leader in consumer goods

Getting better at keeping promises

Customer loyalty is a long-term revenue driver. So how do you guarantee top service levels for your best customers? OMP for Consumer Goods deploys differentiated order-promising strategies to reflect your customers’ strategic importance by integrating customer segmentation and prioritization techniques.

Advanced algorithms define customer profiles based on criteria such as margins and total revenue, and apply next-level order sensing in the allocation process for any time horizon. You can reserve critical capacity to anticipate next month’s demand peaks at the same time as optimally handling a rush order, depending on key customers’ needs.

Optimizing for different shelf-life requirements

Shelf-life requirements differ significantly from customer to customer. OMP for Consumer Goods uses a dedicated E2E network solver to link customer orders and individual production batches to minimum remaining shelf life. You can optimize the available stock by allocating it on a First Expired, First Out (FEFO) basis as well as anticipate new production timescales. It even allows you to flexibly upgrade production process to push expiry dates for premium customers or high margin orders.

Aligning product launches with minimal obsoletes

Extended product portfolios and shrinking product life cycles explode the risk of obsolete stock. In response, OMP for Consumer Goods builds on Phase-In, Phase-Out (PIPO) logic to align product launches as part of your supply chain planning.

The algorithm considers different transition windows, multiple lead times, current product and packing material inventory, and future demand, as well as old and new product shelf life. It proposes the best switch dates or optimal production so older materials are all used up. At the same time, the planning solution manages upstream and downstream dependencies and updates all the related events and their impacts in your planning.

Synchronizing bulk-pack-pack for better OEE

For most consumer goods, high Overall Equipment Effectiveness (OEE) is paramount. To make the best use of the available machine capacity, the bulk-pack-pack (BPP) process needs to take account of capacity bottlenecks in your supply chain. When using OMP for Consumer Goods, you can align the mixing lines with consecutive individual and second tier aggregated packaging lines, optimizing asset utilization at every detailed level.

Greater anticipation, day by day

OMP for Consumer Goods reveals months in advance which markets risk lower service levels due to raw material shortages or seasonal effects. The planning solution’s cockpit view focuses attention on your top priorities, while the digital twin’s powerful engine can reduce the planning cycle dramatically from a week to a day. The benefit to you? Better visibility and faster response.

Catering for external disruptions the agile and collaborative way

With delivery uncertainty on the rise, and supplier reliability under pressure, many companies have been facing up to plummeting service levels. OMP for Consumer Goods offers an eco-system environment in combination with specialist integration solutions from selected technology partners that allow every supplier and stakeholder in your extended value chain to instantly signal any potential disruption and update any commitments that need to be revised.

Planners are informed in real time about these changes, getting a head start with immediate corrective and mitigating actions, at a time when there are still a range of options at their disposal – all before competitors even become aware of these disruptions.

In today’s disruptive supply chain environment, this represents a solid competitive advantage in living up to promises and keeping key customers satisfied.

Value stream planning on an exception basis

Consumer goods are typically part of vast product portfolios. In many cases, managing them is the shared responsibility of large numbers of planners. Planning by value streams promises a more effective and profitable alternative, but it’s more challenging to set up.

OMP for Consumer Goods provides the required technology for the job. Autonomous planning features, based on AI and data science technology, handle all the non-critical issues, leaving your planners to solve the critical issues on an exception basis.

This means you can assign entire value streams — and their linked assets — to a single planner. As a bonus, the value stream approach upgrades your planner’s role and responsibilities and supports the call for stronger global competence centers.

Planning for shared assets with balanced KPIs

With multiple planners working on one plan or competing for shared assets, applying the ‘first come, first served’ concept is not the best idea. OMP for Consumer Goods provides the E2E visibility solution to help align planners with high services levels and other company-imposed targets and KPIs. It sets up assets as shared resources and offers planners total transparency on each other’s and the company’s priorities, as well as what’s physically happening upstream, downstream, and in parallel.

With the support of smart solvers, built around objective well-balanced KPIs, your planners can align easily based on common targets and rational criteria.

Sharing planning info, a win-win for all

With outsourcing and customer involvement on the rise, companies face a growing need for cross-enterprise collaboration. To enable alignment within your extended value chain, OMP for Consumer Goods offers a portal as part of its supply chain planning solution.

Using the portal, suppliers and contractors can feed the common planning core with planning-critical data updates, while customers can upload their forecasts and POS data. This helps you anticipate and optimize both demand and supply planning in near real-time, and supports the planning of other stakeholders in your planning ecosystem.

When you are informed quickly about disruptions and can make a timely response, cross-enterprise collaboration becomes the gateway to a win-win situation.