Case study

How SFD turns 26%
of chats into cart-adds

SFD is one of Poland's best-known sports-nutrition retailers – protein, creatine, vitamins and pre-workouts under its own Allnutrition, SFD Nutrition and Alldeynn brands, sold online alongside a chain of stores and gyms.

4 min read

SFD Assistant
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Scale

2,200 supplements in the bio range

Integrations

Custom integration · Freshdesk · Allegro

Results

Key results for a sports-supplements store

Measured in AskSpot over 30 days – what the agent does for the basket, and how much of the queue it closes on its own.

26.2%

of chats fill a basket

3.1

items in an average chat basket

56%

product recommendation click-through

63%

of chats resolved

“AskSpot is a genuine asset to our customer support team. It efficiently takes over routine inquiries via chat and email, freeing up our agents to concentrate on more challenging matters. As a result, customers enjoy prompt, clear and consistent responses, which has noticeably enhanced both their experience and our overall service quality.”

Krzysztof Cop

★★★★★

Krzysztof Cop

Customer Service Manager, SFD

Before AskSpot

A wall of supplements, and a shopper who needs a person to choose

SFD’s range runs to thousands of supplements – from different forms of creatine and proteins matched to specific diets, to advanced pre-workout formulas. Even with a clear goal, whether cutting fat or building mass, the shopper still has to settle which product, in which form and at which dose actually fits. A standard category page simply doesn’t answer that.

The other half is operational: where an order is, whether it will make the InPost cut-off, how a discount code stacks with loyalty points. Most of it comes in the evenings, at weekends and around training hours – exactly when the phone line is closed. And a slice of it is health-adjacent, where the responsible answer is sometimes not to answer at all.

Cover outside opening hours

none

Questions that repeat most

product choice & delivery

Peak enquiry time

evenings & weekends

Queues to staff

chat & Freshdesk email

Rollout

How SFD rolled out AI chat and a Freshdesk inbox

Storefront advice first, because that is where the sale is won; then live order data, because delivery and status are a third of everything asked; then the email queue, so the same answers serve both channels.

AI Chat Agent

Step 01

Catalogue & Stock Sync

Pre-sale advice on the storefront

The full bio range went in – Allnutrition, SFD Nutrition and Alldeynn – so the agent can weigh a monohydrate against a malate, read a label for what a pre-workout actually contains, and filter by diet such as gluten-free. Where a question turns medical, it says so and points to a specialist rather than guessing.

What shoppers ask

  • I want creatine but I don’t know which one
  • Does Redox Hardcore 2.0 contain omega-3?
  • Gluten-free products safe for celiac?

AI Chat Agent

Step 02

Order API Integration

Delivery dates and order status

Delivery terms and order status are more than a third of everything asked, and the InPost cut-off decides whether a parcel ships today – so both come from live order data, not a policy page.

What shoppers ask

  • Order before 6 pm – will InPost arrive tomorrow?
  • When will my order arrive?
  • Can I still change the delivery address?

AI Inbox Agent

Step 03

Freshdesk Integration

The post-sale email queue

The inbox queue joined the same catalogue and order data, so a returns rule or a delivery cut-off only has to be right once to be right on chat and in the inbox – answered in the customer’s language, SFD’s foreign markets included.

What shoppers ask

  • When will my order from 14 July be dispatched?
  • I need a VAT invoice for my order
  • Sent my return two weeks ago, still no refund

Measured in AskSpot

What the agent does in a month

4,200

conversations handled a month

58%

of chats come in after hours

10

messages per conversation

6 s

average first response

Around the clock

Your busiest hours aren't nine to five

Each bar is the share of chats by hour of day, in local time. The shaded window is when a typical team is at their desks. Everything outside it is the agent working a shift no one else is on.

Mon–Fri 9–17, team at their desks00:0003:0006:0009:0012:0015:0018:0021:00
Staffed hours (42%)After hours (58%)

From real conversations

What SFD shoppers actually ask

Two things shape a supplement sale: which product fits the goal, and when it turns up. Choosing between a monohydrate and a malate, checking what's in a pre-workout, or asking whether a protein suits a teenager is the single biggest slice – and delivery terms and order status make up most of the rest.

Product advice & specs29.8%
Delivery & shipping27.0%
Discounts, codes & loyalty15.9%
Order status & tracking13.8%
Changes & cancellations7.1%
Returns & complaints6.1%

Based on tagged conversations over 30 days · about 10 messages each · 58% arriving outside business hours.

Post-sale inbox

The email queue runs on the same product knowledge

SFD's Freshdesk queue – order status, delivery chases, returns, complaints and invoices – runs through the AI Inbox Agent alongside the on-site chat. Routine tickets are answered end to end, 24/7 and in the customer's language; anything that needs a judgement call is triaged to the team.

21%

Routine support emails are resolved end to end by AI – the rest are triaged and routed to the right person.

Resolved by AI

  • PLWhen will my order from 14 July be dispatched?Order status
  • PLFrom what amount is delivery free?Delivery
  • PLI need a VAT invoice for my orderInvoice
  • DEPlease cancel the order I placed todayCancellation
  • PLWrong delivery address – please correct itAccount

Sent to your team

  • PLPackage arrived damaged – photos attachedComplaint
  • PLRedeemed points but was still charged full priceBilling
  • ENSent my return two weeks ago, still no refundRefund

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Test before you trust

Worried AI will cost you customers?

You never flip a switch and hope. Every answer is checked by our AI, our specialists and your own team before launch – and if you want extra reassurance, you can go live after hours first.

Layer 01

Self-testing AI

Every reply is checked automatically against your catalog and your rules, so off-topic or off-brand answers are caught before anyone sees them.

Layer 02

Vetted by experts

Our specialists challenge it with all kinds of questions, drawing on experience from dozens of e-commerce projects we've run, then sign off on the quality.

Layer 03

Tested on staging

Your own managers get a private staging environment to try the chat end to end – ask anything, push the hardest cases – and approve it before go-live.

Layer 04

After-hours launch

Want extra reassurance? Optionally go live only outside working hours at first, review every answer and the full statistics, then expand when you're ready.

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