Last-mile Delivery Infrastructure and Tactics
Global Automotive Manufacturer
The automative manufacturer used an analytics platform to optimize last-mile delivery infrastructure and tactics.
Be it your production-distribution network or supply-delivery network, your supply chain infrastructure has to move in lockstep with your current business strategy. We are here to help you meet that challenge.
Strategic Network Design is a quantitative supply chain model that aligns the supply chain infrastructure (production-distribution network or supply-delivery network) with customer requirements and the business strategy and optimizes the infrastructure based on Total Cost to Serve.
"By rationalizing our North American network, we provided improved service at lower costs through redesigning our network. Our project succeeded in shifting our “inventory-centric” perspective to one of “total-cost optimization.” We have since consolidated our depots in North America, leading to significant infrastructure cost savings as well as a sustained inventory reduction of $5 Million."
Inventory Cost Savings
Transportation Cost Reduction
Whether for operational or financial purposes, Solvoyo generates value through its ability to accommodate not only historical sales, order, inventory, and fulfillment records, but also big data in real-time: distributor data, point-of-sales, weather data, external market benchmark data, financial targets, links to social media data, and sentiment analysis.
With its advanced machine learning capabilities, Solvoyo’s demand forecasting helps you take your forecast accuracy to the next level.
Demand forecasting alone is not enough to make the right decisions. The best demand plan is the one that receives input from all stakeholders and empowers them with data & insights.
On a single platform with one version of the truth, by involving cross-functional teams such as sales, marketing, finance, operations, and supply chain, we help you create a more realistic demand plan, which balances business targets against the customer needs while minimizing risks.
Competitor moves, consumer preferences, weather, and pandemics… There are so many external factors shifting demand, creating complex forecasting and demand planning processes. Solvoyo, on top of its forecast generation and collaborative environment, offers what-if capabilities to evaluate scenarios incorporating internal and external events. In seconds, planners are able to review the effects of price adjustments, marketing activities, sales incentives, product portfolio adjustments and compare them with budget or approved base scenarios.
When there is a latency between the consumer demand signal and supply chain actions, classical forecasting methods are woefully inadequate in sensing the demand and reflect it in forecasts.
Solvoyo Demand Sensing translates the data from disparate sources and improves the speed and the quality of short-term demand-shaping actions in response to internal and external events. For CPG companies happens via learning from sales data of various retail channels. For retailers, this means learning from increasing store traffic/or website traffic and click rates.
Understanding the level of influence of the demand drivers such as discounts, promotional offers, website placement, or in-store display empowers better decision-making when it comes to shaping demand.
In addition to using these demand drivers in forecasting, Solvoyo Analytics and Planning platform also provides insights on how different product segments or channels respond to changes in these demand drivers. Having insights on which products are more sensitive to promotions or changes in the price index in reference to the competition facilitate faster and smarter decisions when it comes to taking demand-shaping actions.
Insights from the demand-driver analysis are also used in predictive and prescriptive models such as Promotions Planning and Gap Closure to take action on under-performing categories or slow-moving SKUs.