AI-Powered Field Sales: William Grant & Sons Route-to-Market
How eBest's AI-powered SFA brings image recognition, intelligent route planning and live execution intelligence to William Grant & Sons' On-Trade and Off-Trade field sales — from the back bar to the supermarket shelf. Book a DemoWilliam Grant & Sons: A Global Spirits House, Powered by AI
Founded in 1887 and sold in more than 100 markets, William Grant & Sons is the independent, family-owned distiller behind Glenfiddich, The Balvenie, Grant’s, Monkey Shoulder and Hendrick’s. Selling that portfolio means working in one of the most complex retail environments in consumer goods. A single territory can hold a cocktail bar with a handwritten menu, a nightclub with a back bar lit in near-darkness, a convenience store with a four-facet shelf, and a wine shop stacking gift boxes next to standard bottles. Every one of them is an opportunity — and every one of them is hard to see, hard to standardize and hard to report on. That last mile is exactly where the company chose to innovate.
The Challenge
Why Manual Field Sales Breaks Down in Spirits
Ask people what the old routine looked like and the answers start to rhyme. Routes were built by hand. Paperwork followed every visit. And the numbers never arrived in time to change anything. None of these problems is exotic — they are the standard tax that manual field operations levy on every consumer goods company. William Grant & Sons simply decided to stop paying it, and to do it across the whole organisation rather than a corner of it.
1. Routes Planned by Hand
Visit routes took hours to build and went stale the moment a priority shifted. Manual planning cannot rebalance thousands of outlets against a moving set of commercial priorities.
2. After-Visit Paperwork Ate the Day
The forms that followed each visit consumed hours that should have gone to shop owners and bar managers. Every minute spent transcribing a shelf is a minute not spent selling into it.
3. No Shared Playbook Across Territories
Every rep ran their own version of the job, so the things that worked in one territory never quite spread to the next. Good practice stayed local instead of becoming the standard.
4. Visits Too Rushed to Actually Sell
With planning and reporting eating the day, visits left too little room for selling, coaching or follow-up — the parts of the job that actually move a bottle.
5. Two Channels, Two Very Different Jobs
On-Trade means menus, cocktail lists and dim back bars. Off-Trade means shelf displays, facing counts and gift stacks. One paper-based standard never really fit either of them.
6. Disconnected Systems, Monthly Lag
Numbers sat in disconnected systems. By the time someone had pieced a market picture together, the month was over — the insight arrived too late to guide coverage or activation.
The Solution
An AI-Powered SFA Platform
The thinking behind the upgrade fits in a sentence: put people, data and modern technology into the same loop, so that selling becomes simpler, smarter and more effective. The system handles the seeing, counting and planning. People do what only people can — judge, negotiate and sell. Tellingly, the goals were never written as features: more outlets covered by the same team, better decisions made sooner, and a larger share of the working day spent with customers instead of a screen. Every capability below exists to serve one of those outcomes, and reps can feel the difference in the shape of a normal week.
AI Visit Planning
Visit plans now build themselves around what actually matters: outlet tier, business opportunity and visit requirements. Daily sequences take real distances and live traffic into account — and the plan is never set in stone. When priorities shift, the schedule moves with them.
AI Image Recognition, On-Trade
In a bar or restaurant, the rep photographs the drink menu, the cocktail list or the back bar, and AI reads the brands and products in the image on the spot — including handwritten menus and low-light back bars.
AI Image Recognition, Off-Trade
In retail, shelf displays and facing counts are captured the same way, from a single photo. Share of shelf and display quality stop being a matter of opinion.
Results on the Spot, Checked Together
Recognition results appear immediately and are checked with the customer standing right there. A correction takes seconds — and every correction feeds back into the models, so accuracy climbs with use.
Execution Management With Proof
Display quality and share of shelf no longer rest on self-assessment. The photo is the proof, and brand standards become traceable store by store, with gaps surfacing as follow-up priorities rather than end-of-month surprises.
Live Dashboards at the Desk
Outlet tiers are assessed automatically, so coverage follows opportunity rather than habit. Managers see one shared, current view of the market, and the old habit of assembling the truth by hand quietly retires.
Key Capabilities
🗺️
AI Visit Planning
Opportunity-, distance- and traffic-aware daily sequences that rebuild themselves when priorities change.
📸
AI Image Recognition, On-Trade
Reads brands and products from drink menus, cocktail lists and dimly lit back bars.
🏪
AI Shelf & Facing Capture
One photo captures shelf displays and facing counts across supermarkets and liquor stores.
🎯
Automated Outlet Tiering
Outlet tiers assessed by the system, so coverage follows opportunity instead of habit.
📊
Live Execution Dashboards
A market picture that assembles itself daily instead of monthly, for sales leadership and head office.
✅
Execution Management With Proof
Photo-based verification turns brand standards into something traceable store by store.
🔁
Self-Learning Recognition
On-site corrections feed back into the models, so go-live was a starting line, not a finish line.
🤖
AI Next Best Action
On the roadmap: opportunity-rated, store-specific recommendations that turn data into face-to-face conversations.
👥
Multi-Role Support
One platform for reps, supervisors and sales leadership, each with the view and workflow they need.
The Results
AI-Driven Outcomes
William Grant & Sons’ field team has completed a full switchover to eBest’s AI-powered SFA, covering the entire field sales organisation across On-Trade and Off-Trade. The change is visible in the shape of a normal week: hours that used to disappear into planning, guessing and paperwork now accumulate in front of customers, and the market picture updates daily instead of monthly.
| Metric | Result |
|---|---|
| Intelligence Layer | AI across route planning, in-store recognition & execution management |
| Channels Covered | On-Trade (bars, restaurants, nightclubs) & Off-Trade (supermarkets, liquor stores) |
| Rollout Scope | Entire field sales organisation — full switchover, not a pilot |
| Recognition Coverage | Drink menus · cocktail lists · back bars · shelf displays · facing counts |
| Visit Planning | AI-driven — opportunity-, distance- and traffic-aware |
| Market Visibility | Daily, replacing monthly manual reporting |
| Outlet Tiering | Automated — coverage follows opportunity |
| Execution Verification | Photo-based, with results confirmed on the spot |
| Change Management | Region-by-region training with support after go-live |
| Roadmap | AI next best action suggestions, opportunity-rated by store |
eBest Mobile has helped William Grant & Sons with:
- Putting AI to work across the On-Trade and Off-Trade route-to-market
- Visit planning that rebuilds itself around opportunity, distance and live traffic
- Image recognition that reads handwritten menus, back bars and retail shelves
- Execution data the rep and the customer confirm together, on the spot
- A daily market picture that replaces monthly manual reporting
- A full-scale switchover carried by region-by-region training and support
Frequently Asked Questions
Which channels and teams does the new SFA cover?
William Grant & Sons’ entire field sales organisation, spanning On-Trade channels (bars, restaurants and nightclubs) and Off-Trade channels (supermarkets and liquor stores). Training rolled out region by region ahead of the switchover, with support on hand afterwards.
What happens when the AI misreads a photo?
The rep sees the result on the spot and corrects it with the customer standing right there. Each correction feeds back into the recognition models, so the system keeps getting sharper through everyday use.
Why a full switchover instead of a pilot?
Running old and new processes side by side means double data entry and numbers that never quite line up. Cutting over completely — with training beforehand and support afterwards — pays the cost of change once, and leaves one process and one source of truth from day one.
What makes spirits such a hard test for image recognition?
Handwritten menus, back bars lit in near-darkness and displays that follow no planogram are about as hard as retail image recognition gets. Going live there at full scale says more about platform maturity than any benchmark could.
What comes next on the roadmap?
AI-generated “next best action” suggestions: specific, opportunity-rated recommendations for each store, designed to turn captured data into face-to-face selling conversations.
How is AI positioned alongside the field team?
As support staff, not a stand-in. The system recognises, counts and plans; people judge, negotiate and sell. In a category where the sale still happens face to face, the machine hands time back and humans spend it where it counts.
Ready to put AI to work across your field sales?
Discover how eBest’s AI-powered SFA can bring image recognition, intelligent route planning and live execution intelligence to your On-Trade and Off-Trade teams.
Related case study: AI-Driven Transformation: Wall’s Ice Cream Route-to-Market
Read the announcement: William Grant & Sons Adopts AI-Powered SFA with eBest