Working with your team, we turn the sales, inventory, product, customer, branch and service data you already hold into an executive opportunity map — showing where money is being made, where it's quietly leaking, and which decisions are worth changing next.
Your team's instinct and hard-won experience, brought together with leading-edge analysis of the data you already hold. The aim is sharper commercial decisions — not another dashboard.
Stevens & Co runs RYOBI across Southern Africa — around 175 people, five branches, subsidiaries in Kenya and Namibia, plus the STECO and PROMAX lines. Each of these behaves differently — different margins, seasonality and stock risk — so each rewards different decisions. The prompt on each card is just an example of the kind of question it raises — a starting point to explore together, not a fixed view.
Power & cordless tools, garden, pressure washers, generators, welding, measuring, accessories, spares. Each category has its own margin, seasonality and inventory risk.
Stockists, branches, key accounts, online partners, service network. Sell-in to a stockist is not sell-out to an end customer.
Local service centres, repair agents, warranties, manuals, exploded views and spares are hard for a competitor to match on price alone.
A broad catalogue ties up cash: slow SKUs, stockouts on winners, dead stock, branch imbalances, spares complexity.
Repairs, warranty claims, parts requests, returns and failures aren't only costs — they can be one of the sharpest commercial signals you own.
Starting points, not conclusions. The POC exists to confirm, size and rank these against your real data — then convert the survivors into decisions.
Lost sales when high-demand tools, batteries, chargers, accessories or spares aren't on the shelf in the right branch or region.
True contribution after freight, rebates, warranty, returns, discounts and service can invert the ranking that revenue alone suggests.
A long tail that adds inventory and operational drag without earning its place — cash and attention spread thin.
Buyers walking without the battery, charger, blade, bit, line, bag, oil or spare — the highest-margin, lowest-effort revenue on the table.
Some stockists over-perform on fit and location; others stall on range, availability or capability. Distributor sales hide end demand.
Repair and warranty patterns reveal quality issues, misuse, training gaps, parts demand and retention opportunities.
As load-shedding urgency shifts, the play moves from panic-buying to planned resilience for SMEs, contractors, farms and off-grid.
One battery platform can drive repeat purchase and lock-in — but only if cross-sell and repeat paths are actually understood.
This is the shape it could take — built here on illustrative figures so you can judge the method before any data changes hands. In practice we'd shape it around your data, systems and priorities. Every number shown is invented to illustrate technique, not a finding about RYOBI.
Rather than ending in a report, the work is built to end in decisions your team can weigh. Each opportunity gets sized, set against effort and confidence, and paired with the move it points to — so you can decide what's worth acting on.
Where proven demand is held back by stock, coverage or bundling — and what it would take to free it up.
SKUs, customers and warranty patterns that look good on revenue but quietly hurt contribution.
Where there's room to lift attachment across tool + battery + charger + accessory + spare + service.
Which range is genuinely strategic, and which inventory is just drag that earns nothing.
What repair, warranty & parts data can tell you about product, stock, training & retention.
Where DIY, trade, contractors, farmers, industrial & stockists each want a different play.
Whether generators can shift from panic-buy to planned resilience bundles — and for whom.
A typical shape — we tailor it to your context, systems and priorities rather than run a fixed template. Low-risk by design: we start from data you already hold, keep the scope tight, and build usable outputs at each step rather than one big reveal at the end.
No new systems, no new collection. Pragmatic extracts, ideally 24 months, are enough to start.
Where money is made, where it leaks, ranked by confidence & effort.
Winners, drains & long tail on true contribution.
Sell-in vs. sell-out, over- and under-performers.
Recoverable revenue, sized and located.
Ageing & dead-stock cash you can free.
Batteries, chargers, accessories, consumables, spares.
Quality, training & retention signals from service data.
Decisions, not just charts — with owners and next steps.
Practical tools and packs the team can keep using afterwards.
Existing data. A tight, low-risk scope. Outputs you can act on as they land — a clear view of where the money is, the analysis behind it, and tools the team can keep using.