Assortment and replenishment
Messika
By structuring its retail replenishment on Anaplan, Messika, a luxury jewellery house, secures decision-making and supports its international growth.

Event
Registration closed
March 18, 2025
From 1:00 p.m. to 5:30 p.m.
1/2 day
75002 Paris
By Invitation
French
Managing an agri food Supply Chain at the scale of an international group requires handling variable agricultural yields, intense processing campaigns, a multi site industrial network and diverse commercial requirements. Discover how Tereos, a cooperative bringing together more than 12,000 farmers and the world’s second largest sugar producer, structures and digitalises its planning processes in Anaplan with the support of OneHive.
This event will present the foundations of this transformation. The agenda will cover forecast reliability, coordination of industrial plans, packaging line planning and the integration of commercial and financial dimensions. The session is designed to illustrate how a leading industrial organisation secures end to end decision making, from demand through to final packaging.
Tereos will detail the progressive construction of its Anaplan environment, covering:
Digitalisation harmonises practices across sites, aligns teams around shared assumptions and makes the consequences of trade offs visible in terms of production, inventory levels and margins.
Teams will also share key success factors, including data structuring, project governance, user upskilling and progressive adoption across departments.
The Retail division will present the B2C forecasting model, a critical topic for consumer facing activities. Teams will explain how Anaplan supports product listing management, statistical forecasting adapted to SKU families, integration of promotions and marketing plans, construction of a consolidated budget and valuation of volumes down to contribution margin.
This feedback will illustrate how a more structured forecasting approach improves commitment quality, strengthens industrial arbitration and ensures stronger alignment with commercial objectives.
PRACTICAL INFO / LIVE EVENT
From 1:00 p.m. to 5:30 p.m. on Tuesday, March 18, 2025
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Discover answers to key questions about our services and approach.
The combination of agricultural yields, climate uncertainty and commercial fluctuations makes forecasting difficult when relying solely on historical data. Anaplan centralises campaign assumptions, statistical forecasts, commercial signals and field data within a single model. Deviations are detected earlier, assumptions are better shared across teams and projected volumes become directly usable for production and industrial planning.
Each plant has its own capacities, calendars and technical limitations, making a common process challenging. A centralised model preserves this granularity while applying consistent planning rules across the network. Inter site trade offs become faster as all stakeholders work with the same data structure, calculation logic and consolidated visibility on production and inventory impacts.
Demand changes can overload lines, create packaging bottlenecks or disrupt inventory levels. Scenario simulation in Anaplan allows teams to test multiple demand assumptions and immediately observe operational consequences. Risks are identified earlier, priorities adjusted and product availability secured before gaps become critical.
Packaging often concentrates bottlenecks in agri food industries. By modelling lines, speeds, product sequences and constraints, Anaplan provides clear visibility on forecasted load and saturation risks. Teams can anticipate congestion, rebalance volumes across sites when necessary and build realistic load plans aligned with industrial and commercial objectives.
Anaplan is particularly relevant when processes involve multiple functions, complex rules, a multi site network and strong interactions between forecasting, production, commercial and financial planning. The platform structures data, standardises calculation rules, traces assumptions and supports simulation of alternative industrial trajectories. Decisions are made with a consolidated view of their impacts, without file proliferation or information loss between teams. For an industrial organisation like Tereos, this unified environment has become a daily tool to steer performance and secure trade offs.
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