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Long Lever Intelligence 360

What’s possible in production

What happens once this is connected

Everything on the other pages runs on fictional data, calculated by the platform. These are the capabilities the same foundation reaches once it is connected read-only to the ERP, the trade website and public business data: an analyst that never rests, forecasts you can argue with, and risks surfaced continuously rather than quarterly.

Fictitious example · real build

The same rules apply

In production the platform still calculates every figure and the model still writes only words over them. Nothing here changes that boundary.

Nothing is replaced

The ERP stays the system of record, the trade website stays the trade site. The platform reads both, and writes nothing back without approval.

Sequenced, not switched on

Each capability lists what it needs. The pilot starts with the quick wins and the data already held; the major builds follow once the figures are trusted.

Claude as your analyst

The work that eats a commercial team’s week: pulling figures together, explaining them, and writing them up.

Ask anything, with workings shown

Plain-English questions answered by querying your data, with the figures and sources shown next to the answer.

“Why did fire margin fall in the North West last month?” Answered with the accounts, the order lines and the price changes behind it.

The ERP read accessAI account
MediumHours back each week

Board pack drafting

Monthly management commentary, KPI narrative and risks drafted in your house style, ready for edits rather than a blank page.

“Margin held at 28.4%, with CCTV down 1.8 points offset by a stronger fire mix.”

Finance dataPast board packs
Medium2 days back each month

Reading the unstructured stuff

Call notes, customer emails, returns reasons and manufacturer notices turned into data and themes you can act on.

“12 returns mention the same camera model failing.”

Email or CRM notesReturns system
MediumProblems found earlier

Sales assistant in Teams

A rep asks what to pitch tomorrow and gets an answer from live data, then has the follow-up email drafted.

“What should I pitch to ABC Fire tomorrow?” Answered with their gaps, their open quotes and the range to lead on.

Microsoft TeamsRole-based access
MediumBetter calls, less prep

Predict and price

Using history to decide what to hold, what to quote and what to buy — with the reasoning visible.

Explained forecasting

Sales and stock forecasts by product and account, with a written reason for every change rather than a bare number.

“Cameras +9% next quarter: three accounts adding branches and a seasonal lift in the South West.”

2 or more years of sales history
MajorFewer stock-outs and write-offs

Quote pricing guidance

The price an account is likely to accept, per product, with the margin floor the platform will not let a rep break.

“This installer accepts within 2.1% of list on cameras. Quoting at 1.4% below list has won 8 of 9.”

Quote and order history
Major1 to 3% margin

Demand-led purchasing

Suggested purchase orders from the forecast, respecting lead times, supplier minimums and end-of-life notices.

“Raise 480 units of the 4MP dome: 14 days of cover, 21-day lead time, tier threshold at 500.”

Stock, lead times, supplier terms
MajorLess cash in slow stock

Protect the business

The margin and credit risks that only surface once a quarter today, surfaced continuously.

Credit early warning

Slowing payments, falling orders, Companies House filings and director changes combined into one score per account.

“Charge registered and payment days up from 41 to 63: hold the credit limit before the next order.”

AR ledgerCompanies House API
MediumBad debt avoided

Margin leakage watch

Special prices never reviewed, overrides, carriage given away without a charge and small-order cost, quantified by account.

“£214k of orders last year carried a special price last reviewed in 2023.”

The ERP pricing and order lines
Quick win1 to 2 margin points

Data quality score

Duplicate accounts, wrong costs, missing categories and unassigned reps flagged and fixed before they distort a report.

“38 product lines have no category: £1.2m of sales currently sits in ‘Uncategorised’.”

The ERP
Quick winReports you can trust

Grow

Where the next £1m of trade actually is, and what to ask suppliers for.

Market share by county

Estimated demand from installers, tenders, planning applications and new builds, measured against Videcon sales by area.

“Berkshire: 340 installers, 62% buying elsewhere — the largest unworked county.”

PostcodesPublic tender and planning feeds
MediumTargeted coverage

Supplier negotiation packs

Spend trend, rebate position, stock-outs and brand growth assembled into one page to take into a supplier review.

“Spend up 14% on last year; at this run rate the 3% tier is reached with 6 weeks to spare.”

Purchasing dataRebate agreements
Quick winBetter rebate terms

Installer Portal link-up

Portal activity — kit lists built, designs submitted, leads claimed — read as a leading indicator of orders.

“3 designs submitted for care home fire systems, worth £180k, no order yet.”

The Installer Portal
MediumWork seen before the order

Win and keep the suppliers

What a manufacturer gets from Videcon that a wholesaler counting boxes cannot give them: proof of what actually sold, and a scheme that pays for growth.

Quarterly manufacturer packs

Sell-through by brand and category, the installers buying, availability, website demand and campaign results, assembled each quarter.

“Brand A: £24.1m sell-through, +14%, 41 installers buying, 96% availability, 12 new installers opened.”

Sales and stock historyWebsite analytics
MediumBetter terms, new lines

Sell-through by buying mode

For each brand, how much of its trade arrives as urgent top-ups, planned installs, service parts and van stock, and where it is leaking.

“18% of the brand’s category spend is urgent — that is the branch-stock conversation, not the price list.”

Order lines with datesStock locations
MediumA range review that lands

Retro schemes that pay for growth

Personal targets built from each account’s spend with other suppliers, with a booster paid only on the families it buys elsewhere.

“£911k of retro, £2.5m of gross profit, £715k of the cost funded by the supplier tier it releases.”

Account spend historyRebate agreements
MediumGrowth, not a discount

The reports this makes possible

Twelve reports that today take a day each to assemble. Each one is written from the same calculated figures, so the numbers reconcile between them.

Weekly what-changed-and-why narrative

What moved this week, the cause, the £ impact and the evidence, in plain English.

Customer profitability after cost to serve

Gross profit per account after delivery, returns, credit and support time — not turnover.

Lapsing accounts with recovery value

Who has gone quiet against their own rhythm, and what recovering them is worth.

Share of wallet and basket gaps

What each installer buys elsewhere, measured against installers of the same size.

Website demand gaps (searched, not stocked)

What installers searched for on the trade site that the catalogue did not answer.

Rebate tier position and run rate

Where you sit against each supplier tier, and the run rate needed before the period ends.

Price leakage and special pricing review

Special prices never revisited, overrides and carriage given away, by account and line.

End-of-life stock exposure

The cash tied up in ranges that are being discontinued by the manufacturer.

Forecast accuracy and drift

How the last forecast performed against what actually sold, by category.

Action outcomes: what we did and what it earned

Every closed action scored against the account’s trading afterwards.

Manufacturer sell-through pack

Brand sell-through, installers buying, availability and website demand in one quarterly pack.

Retro scheme performance by account

Retro paid against the extra trade each account delivered, and the target set for the next period.

How it would be delivered

12 weeks

Discovery and data access

Commercial definitions agreed, read-only credentials identified, and the questions the board wants answered written down.

23 to 4 weeks

Read-only connection and agreed definitions

The ERP and the trade website connected read-only, figures reconciled line by line, and the metric engine signed off by finance.

36 weeks

Pilot with one region’s team

One region and its account managers, the action list and the weekly report live, with feedback gathered weekly.

42 weeks

Review value, then roll out

Results measured against the agreed criteria, then a decision on national rollout and the next capabilities to build.

The next step is a conversation about data, not software

Four questions about how Videcon works today are enough to produce a tailored pilot plan, with the sequence and the success criteria written down.

Long Lever Intelligence 360 · Fictitious example, real build. A demonstration of a platform we’ve built, shown with sample data under the Long Lever name. No live data is read from your ERP, your trade website or your existing integration layer.