Sales fleet transformation and optimisation
summary
Locus.sh combines specialist routing heuristics with a mixed‑integer scheduling model (backed by commercial solvers like CPLEX/Gurobi) to generate permanent journey plans for FMCG sales fleets, splitting routing and scheduling to meet a 10–15 minute runtime KPI. Deployed on batches of 7–10k outlets, the system cuts travel distance by 40–50%, eliminates double visits, raises revenue potential by matching salesmen to stores by time‑of‑day, and uses phased rollouts plus configurable weight templates to handle noisy data and on‑ground acceptance.
AI-written summary · about
chapters (20)
- 0:00Introduction
- 1:17What is the sales suite
- 2:32Why do you need a sales suite
- 3:57Sales person insights
- 5:59Shop owner insights
- 7:03Sales manager insights
- 8:17Problem statement
- 9:17Salesman tour
- 10:55Salesman differences
- 11:54Salesman parameters
- 12:29Store revenue potential
- 13:30Realworld constraints
- 14:30Realworld problems
- 16:19Problem classification
- 17:48Complexity
- 18:58Solution Approach
- 21:48Overlap
- 22:57Average improvements
- 23:58Challenges involved
- 30:09Conclusions
