Copper moves. Know which margins move with it.
Products are specified by planners and panel builders long before the order reaches wholesale. ZopaAI joins your ERP, quote log and wholesale sell-out to 230,000+ external sources and scores every account, project and channel partner.
Electrical engineering
Earlier sight of projects, specifiers and partners
In electrical engineering, many decisions are shaped by planners, panel builders, installers and wholesale partners, often well before an order is placed. Sell-out from wholesale is usually only partly available, and project information is spread across CRM entries, tenders and permits. ZopaAI follows projects from planning permission to tender, maps which specifiers drive volume in your regions, and combines available wholesale sell-out with external structural and project data, clearly labelled as reported or estimated. Your team sees where it can still influence a project and which partners have room to grow in their area. Projects and run-rate business end up in one prioritised view.
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.
Project & specification pipeline
By the time a wholesaler asks for a price, the specification has been written and your chance to influence it has passed. ZopaAI tracks building and infrastructure projects from planning permission through tender, matches them against your product categories, and shows which ones are still open to specification.
- Projects matched to your categories, from permit to tender
- Stage shown: pre-spec, in spec, tendered, awarded
- Weeks of influence left, per project
“47 projects in your categories are currently pre-tender. 9 are still open to specification, with an estimated 11 weeks of influence remaining.”
Illustrative wording. Figures and names are not from a real client project.
Specifier influence mapping
The order comes from a wholesaler, the decision came from a planning office you have never visited. ZopaAI reconstructs which planners, consultants and panel builders stand behind your won and lost projects, and ranks them by how much volume their specifications actually move.
- Planners and panel builders ranked by specified volume
- Win rate per specifier, not per customer
- Competitor specifications flagged where visible
“12 planning offices specify 58 % of the volume in your regions. In 4 of them your win rate is below 20 % despite regular contact.”
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 invoiced revenue, which in this industry tells you what the wholesaler moved, not who decided. ZopaAI scores every account on expected twelve-month potential from sell-out data, project involvement and external building activity, then cuts it into a ranked work list per rep.
- Scored on decision influence, not on invoiced volume
- Ranked work list per rep, sized to real capacity
- Separate scores for planner, panel builder, installer and branch
“Panel builder 0412, potential 84/100. Drivers: three pre-tender projects in spec, sell-out up 22 % at two branches, competitor line discontinued.”
Illustrative wording. Figures and names are not from a real client project.
Next-best-action recommendations
Knowing an account matters is not the same as knowing what to do with it on Monday. ZopaAI turns each scored account into one concrete next step — the occasion, the channel and the timing — so the field opens with a project reference rather than a check-in call.
- One concrete next step per account, with the occasion named
- Timed against the project stage, not the visit cycle
- Channel assigned: visit, inside sales or digital outreach
“Planning office Hanover: bring the updated switchgear spec sheet before end of month. Occasion: two projects entered detailed planning in April.”
Illustrative wording. Figures and names are not from a real client project.
Channel & sell-out transparency
Wholesale sell-in tells you what you shipped into the channel. It does not tell you which installer took it out, or which branch is sitting on stock while another runs dry. ZopaAI combines sell-out data where it exists with external structural data where it does not, and rebuilds the path from branch to end customer.
- Sell-out per branch reconciled against sell-in
- End-customer view where sell-out data allows it
- Gaps labelled as estimates, never presented as reported data
“Of 180 branches, 64 report sell-out. For the remaining 116, structural estimates cover 71 % of the volume — flagged as estimated throughout.”
Illustrative wording. Figures and names are not from a real client project.
Cross-sell & upsell
Installers and panel builders buy the two product families they started with, and nobody has time to find out what is missing. ZopaAI compares each account's product mix against comparable accounts in the same segment and flags the gaps, with an expected order value attached.
- Portfolio gap per account, against peer accounts
- Expected order value, so the list can be worked top-down
- Mid-sized accounts surfaced without manual review
“68 panel builders buy below peer level across two families. The top 15 carry an expected gap of €540k over twelve months.”
Illustrative wording. Figures and names are not from a real client project.
Framework contract & pricing position
Framework contracts get renewed on last year's terms because nobody has time to check whether the volume assumption still holds. ZopaAI compares committed against realised volume per contract, flags where terms no longer match the business, and shows which renewals sit in a strong or weak position before the negotiation starts.
- Committed against realised volume, per contract
- Renewal position rated before the negotiation
- Contracts flagged where rebate terms outgrew the volume
“23 framework contracts come up for renewal within two quarters. In 7, realised volume sits more than 30 % below the committed level.”
Illustrative wording. Figures and names are not from a real client project.
Region overview & territory planning
Territories were cut along postcodes years ago, and project activity has moved since. ZopaAI maps project volume, coverage and channel presence per region, so headcount and travel budget can be set against where construction is actually happening.
- Project volume and coverage per region, side by side
- Channel density weighed against field capacity
- Cut scenarios modelled before they are implemented
“Region West carries 1.7× the project volume of Region East at the same headcount. Sell-out coverage in the West sits at 44 %.”
Illustrative wording. Figures and names are not from a real client project.
What changed at an electrical components manufacturer in 12 months.
Scope of the case study
- Client
- Manufacturer of electrical components, drives and switchgeararound 700 employeesanonymised at their request
- Market
- DACH and Beneluxaround 1,800 active accounts
- Channel
- Roughly 70 % of revenue through wholesale180 branches in scope
- Team
- 22 field sales and application engineers
- Blocks in use
- Project & specification pipelineSpecifier influence mappingAccount scoring & prioritisationFramework contract position
- First output
- Scored project pipeline after 5 weeks
- Measurement period
- 12 months, two contract roundsmeasured against control regions
- Verification
- Figures from the client's own project controllingreference call available under NDA
Full case study as a PDF
Two pages on initial situation, data foundation, methodology, results. Get access to the link.
The form could not be loaded, possibly because of a browser extension. Email us at info@zopaai.com and we will send you the case study.
Presented anonymised. Figures from the client's own project controlling.
Questions we hear first
Short answers before your first call.
Where sell-out data from distribution partners exists, it is connected as it is. Where it does not, external structural and project data fill the gap and are labelled as such — you always see which part of a view is reported and which is estimated. In practice most clients start with partial sell-out coverage and expand it as partners come on board.
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