Grow your specialty business. Stay ahead of regulation.
Application engineering, formulation history and regulatory signal live in different places. ZopaAI joins them to 230,000+ external sources and grades every account on the margin you actually keep.
Chemicals
Specialty potential and regulatory signals, in one view
Chemical sales teams often balance several things at once: growing the specialty business, supporting application projects and keeping an eye on regulatory change in their customers' markets. Much of the relevant information sits in project logs, spreadsheets or with distribution partners, which makes it hard to compare across accounts. ZopaAI connects your ERP, application project log and quote history with regulatory signals such as REACH restrictions and SVHC listings, plus data on formulators and end markets, and scores accounts on specialty potential and margin. Formulation data stays in your environment. Your application engineers can focus on the projects most likely to convert.
ZopaAI stands for reliable, scientifically verified AI for use in companies, in order to avoid the problem of AI hallucinations.
Newspaper, Frankfurt
Eight building blocks, usable on their own, together a steering system
All blocks run on the same data foundation and the same score logic. You can start with one of them without having to rebuild the others later.
Pick your role, the modules used day to day in that role are highlighted.
Regulatory & substitution signal
A REACH restriction, an SVHC listing or a customer's own substitution programme is the moment a formulation comes under review — and you usually hear about it after the trial has started. ZopaAI tracks regulatory decisions and substitution announcements across your customers' end markets and maps them onto the formulations they buy from you, so the conversation starts while the alternative is still being chosen.
- Regulatory changes mapped to affected customer formulations
- Substitution pressure flagged in the customer's own end market
- Lead time shown: quarters until the change bites
“14 accounts are exposed to the upcoming restriction on two of your additive lines. In 5 cases the end customer has already announced a reformulation programme for 2027.”
Illustrative wording. Figures and names are not from a real client project.
Account scoring & prioritisation
A/B/C classes come out of last year's tonnage and tell you who bought the most, not where future margin potential lies. ZopaAI scores every account on expected twelve-month specialty potential from purchase history, application activity and external production signals, then cuts it into a ranked work list per rep, sized to the capacity actually available.
- Scored on specialty potential, not on tonnage
- Ranked work list per rep, sized to real capacity
- Separate scores for formulator, processor and distribution partner
“Account 1184, potential 78/100. Drivers: three commodity grades with specialty equivalents, new production line announced, two formulation roles posted.”
Illustrative wording. Figures and names are not from a real client project.
Application engineering allocation
Application engineering is your scarcest resource and it goes to whoever asks loudest. ZopaAI estimates the conversion probability and expected margin of each application request before the hours are committed, so technical time lands on the projects most likely to convert rather than simply the loudest requests.
- Conversion probability per application request, before the work starts
- Expected margin attached, so requests can be ranked
- Hours spent measured against orders won, per region
“Of 38 open application requests, 11 carry a conversion probability above 60 %. Together they account for 71 % of the expected margin in the pipeline.”
Illustrative wording. Figures and names are not from a real client project.
Specialty switch potential
Customers sit on standard grades for years because nobody made the case at the right moment. ZopaAI identifies which commodity positions have a viable specialty equivalent, and ranks them by the signals that make a switch realistic now — a new line, a regulatory trigger, a change in the customer's own product spec.
- Commodity positions with a viable specialty equivalent
- Ranked by switch trigger, not by account size
- Expected margin uplift per switch
“62 accounts hold commodity positions with a specialty equivalent. 17 show an active switch trigger, worth an estimated €890k in additional margin.”
Illustrative wording. Figures and names are not from a real client project.
Cross-sell & upsell
Your top accounts buy across the portfolio. The rest buy the two products they started with, and nobody has time to find out what is missing. ZopaAI compares each account's product mix against comparable formulators and flags the gaps, with an expected order value attached.
- Portfolio gap per account, measured against peer formulators
- Expected order value, so the list can be worked top-down
- Mid-sized accounts surfaced without manual review
“53 accounts buy below peer level across two product families. The top 15 carry an expected gap of €620k over twelve months.”
Illustrative wording. Figures and names are not from a real client project.
New customer discovery
Trade fair lists and industry directories give you company names, not application fit. ZopaAI identifies formulators and processors outside your base whose application and production profile matches your best customers, and ranks them by how close they are to a formulation decision.
- Look-alike formulators, matched on application and process profile
- Ranked by timing signal, not by company size
- Competitor supply positions flagged where visible
“71 formulators in Europe match your top-quartile application profile. 9 have announced a new line or a reformulation within the last two quarters.”
Illustrative wording. Figures and names are not from a real client project.
Distribution partner performance
More than half your revenue runs through distributors, and their reports tell you what sold, never what was available and missed. ZopaAI compares each partner's realised revenue against the potential in their territory, so the conversation moves from volume targets to coverage gaps.
- Realised revenue against territory potential, per partner
- Coverage gaps named: which accounts were never approached
- Specialty share per partner, benchmarked across the network
“Partner Benelux realised 61 % of the potential in their territory. 34 scored accounts show no recorded contact in the last twelve months.”
Illustrative wording. Figures and names are not from a real client project.
Region overview & territory planning
Regions were cut years ago along country borders, and nobody knows whether application engineering capacity sits where the potential is. ZopaAI maps potential, coverage and technical capacity per region, so headcount and AE hours can be set against potential instead of history.
- Potential and coverage per region, side by side
- Application engineering capacity weighed against expected effect
- Cut scenarios modelled before they are implemented
“Region South carries 1.6× the specialty potential of Region North at the same headcount. Two application engineers cover 41 % of the scored base.”
Illustrative wording. Figures and names are not from a real client project.
What changed at a specialty chemicals producer in 12 months.
Scope of the case study
- Client
- Specialty chemicals producer, additives and formulationsaround 800 employees
- Market
- Europearound 1,300 active accountsroughly 55 % of revenue through distribution
- Team
- 24 field sales and application engineers
- Blocks in use
- Application engineering allocationAccount scoringSpecialty switch potentialDistribution partner performance
- Period
- 12 months, three wavesmeasured against control regions
- Data connected
- ERP customer masterapplication project logquote logregulatory sources
Full case study as a PDF
Two pages on initial situation, data foundation, methodology, results. Get access to the link.
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Presented anonymised. Figures from the client's own project controlling.
We now spend application engineering time where it will pay back, not where the loudest sales rep asks for it.
Questions we hear first
Short answers before your first call.
Internal formulation data stays internal. ZopaAI reads it in place and returns scores, never content. Nothing leaves your environment, nothing is used to train models, and the external layer works entirely on public and licensed sources.
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- Industry lead, not a generalist
- Valuable discussion, honest assessment.
- Focused on discovering potentials.