• Formulas and recipes as the master record, with versions and approval, not a parts list with quantities.
• Scaling by batch size, with yields and losses recorded per batch rather than assumed.
• Potency or assay adjustment, so a raw material lot at 97% changes the charge automatically.
• Lot genealogy both ways: from a supplier lot to every customer, and from a complaint back to every input.
• Batch costing on actual consumption, labour and rework, so margin is known per batch and per customer.
• Quality release as a step in the flow, not a separate system someone has to check.
• Regulatory status visible at order entry, so sales can't promise a product into a market it isn't cleared for.
• Campaign and vessel planning that understands cleaning, changeovers and shelf life.

Discrete ERP counts items. Batch manufacturing software has to reason about quantities that change: a 1,000 kg batch that yields 968 kg, a raw material lot at 97% assay that changes the charge, a rework that feeds back into the next campaign.

It also has to keep genealogy in both directions. When a supplier flags a lot, you need every batch and every customer that received it in minutes, not a day of spreadsheet work.

Most mid-market ERPs bolt process features onto a discrete core. Formulas live in a separate PLM or a spreadsheet, quality release sits in another tool, and regulatory status isn't visible at all when sales promise a date.

The result is familiar: margin by product is a quarterly estimate, traceability is reconstructed by hand, and orders ship to markets where a product's registration has lapsed.

Worldover holds the formula, the substance data, the lots and the orders on one record. Production orders are generated from the approved formula version, consumption is recorded against real lots, and cost rolls up from what was actually used.

Willow, Worldover's AI, drafts the batch documentation and flags exceptions (a yield outside tolerance, a lot nearing expiry, a market restriction on an open order) for a person to approve.

A specialty chemicals producer receives an order for 12 tonnes of a coating additive for a customer in Germany. At order entry, the system checks stock, open batches and the product's classification and registration for the EU. It's cleared, so the date is promised against real capacity.

Planning schedules two 6 tonne batches in the same campaign to avoid a clean-down. The production order is generated from the approved formula version, and because the incoming resin lot tested at a slightly lower solids content, the charge is adjusted before weighing starts.

The first batch yields 5.82 tonnes. That actual yield, the real lots consumed and the operator time post straight to the batch cost. Quality sees the batch in its release queue with every in-process result attached. Willow drafts the release summary and flags one viscosity reading near the upper limit, and the quality lead approves.

When the customer later asks which resin lot went into their delivery, the answer is two clicks away, and the margin on the order is already known rather than estimated at quarter end.

Worldover is built for chemicals and cosmetics companies that make products by formula in batches. It isn't designed for discrete assembly, continuous refinery-scale processing or plant control systems, and it doesn't replace your DCS or SCADA.

Most customers start with the workflows that cost them most today, such as order promising, batch costing or traceability, and bring the rest across in phases. Phase 1 is typically live in 12 to 16 weeks.