Distribution network optimization projects are decisions of significant strategic importance.
They require not only data and analysis, but also trust in the process, expertise, and experience. FMCG, retail, e-commerce, and pharmaceuticals are industries where the quality and speed of distribution are critical. Through optimization, gain a clear view of costs and savings potential, streamline processes, shorten delivery times, and increase profitability through optimal use of infrastructure.
Why do clients choose us as an external, independent partner?
In projects related to distribution network optimization, companies need a partner who can combine analytical precision with practical experience. Chaingers is a team of practitioners that supports businesses in assessing, designing, and implementing solutions that increase operational efficiency.
1. We provide resources that are often lacking within organizations — both analytical and conceptual.
2. Our brand supports internal decision-making processes — giving them momentum and strategic weight.
3. We act as an objective sparring partner — offering a fresh, structured external perspective, free from internal structures and day-to-day constraints.
4. Our tools and experience allow us to quantify what many companies find intangible — from true costs and SLA parameters to location potential.
5. We strengthen internal teams — providing a “second opinion” where trust in internal capabilities is limited or where an external impulse is needed to drive decisions forward.
6. We help “push good ideas through” — giving them credibility and expert backing where internal intuition needs professional validation.
We operate not only as consultants, but as partners who understand the complexity of decision-making processes and know how to genuinely accelerate them. Working with us is a guarantee of substantive, expert support that strengthens internal structures and speeds up the achievement of strategic goals.
Distribution Network Optimization Process
01 DEFINING THE BUSINESS CONTEXT AND OBJECTIVE
Identifying overarching values and needs
02 DATA COLLECTION AND VALIDATION
Mapping the scale of the business in numbers
03 AS-IS MODEL
Mapping the current distribution structure
04 GREENFIELD MODEL
Creating a mathematically ideal model
05 BROWNFIELD MODEL
Adapting the ideal model to existing realities and constraints
06 ALTERNATIVE SCENARIOS
Evaluating the brownfield model and developing alternative solutions
07 SELECTION OF THE OPTIMAL SCENARIO
Choosing the recommended scenario
08 ROADMAP
Defining the most optimal path to achieve the selected scenario

