Willard Bishop, using proprietary Activity-Based Costing (ABC) models and advanced analytics, helps manufacturers improve productivity and profitability by isolating and removing inefficiencies. The optimization process considers all internal activities such as demand planning, production, supply chain, and packaging. However, these advanced models take optimization to a new level by simultaneously factoring related costs and activities that extend across the value chain, including retailer labor, P&Ls, billbacks, scan-backs, rebates, off-invoice and slotting fees.
Willard Bishop continues to expand and update its Activity-Based Costing models to accommodate marketplace dynamics and changes in cost structures. Today, Willard Bishop provides multi-channel ABC models, including grocery, mass/club, drug, convenience, dollar, eCommerce, and vending channels.
For many consumer goods manufacturers, their upstream production processes are highly efficient. However, inefficiencies increase exponentially as the path of goods moves closer to the consumer. Willard Bishop, applying robust analytics to big data, helps manufacturers understand their cost to serve each route. Once measurable, the paths can be optimized according to consumer need (as in demand signaling), service levels, customer commitment, etc. In addition to direct store delivery (DSD), warehouse, direct-to-consumer, and online, alternative paths can be evaluated to uncover performance opportunities that may be hidden in one route versus another – or perhaps a hybrid of paths.
Capturing hidden profits requires in-depth analyses of the path to purchase. However, one of the least disruptive activities for capturing these hidden profits is case pack optimization. Willard Bishop delivers unrivalled insights into case pack optimization by modeling sales forecasts (demand) within the manufacturer’s existing case pack configurations. By doing so, Willard Bishop determines the optimal case pack, at the right time, for the right channel, and/or trading partner. The case pack optimization process also considers sales velocity to determine shelf “holding power.” This aligns days of supply while minimizing inventory carrying costs and preventing out-of-stocks.