One customer, one next best action — across every Halfords touchpoint.
Veylor Swift builds the decisioning layer sitting between the Halfords data platform and every customer moment: MOT reminders, Autocentre bookings, Motoring Club growth, cycling servicing, EV upsell and retention. Propensity, CLV and uplift models — one ranked action, per customer, per day.
The decisions that move Halfords' P&L.
Every model on the stack maps to a specific Halfords revenue line — Autocentres, retail, cycling, and the Motoring Club subscription base.
Autocentre & MOT next best action engine
Every Motoring Club member and identified customer gets one ranked action per day: MOT due, service due, winter check, EV health check, tyres, cross-sell into cycling. Real-time constraints on Autocentre capacity per postcode, contact fatigue and offer eligibility.
Subscriber propensity & CLV
MOT & service timing
Bike servicing propensity
EV transition propensity
Motoring Club churn & save
Four phases. First revenue in one quarter.
We'd embed with Halfords' data, CRM and Autocentre teams. Every phase ends with a decision shipped to production, not a deck.
- 01DiagnoseMap the top 5 Halfords decisions and the P&L at stake — MOT, tyres, servicing, Motoring Club, cycling.
- 02ModelBuild calibrated propensity, CLV, churn and uplift models on the Halfords data platform.
- 03DeployShip a decisioning layer into the CRM, app, contact centre and Autocentre booking flow.
- 04OptimizeContinuous A/B against holdout, drift monitoring, quarterly P&L readout to the exec team.
What comparable retailers have seen — and what we'd expect at Halfords scale.
Directional estimates based on comparable engagements. See case studies for methodology.
A 30-minute session with the Halfords CRM and Data teams.
We'll come with three sized decisions specific to Halfords — MOT reactivation, Motoring Club conversion, and cycling servicing — and the uplift on the table for each.