TIKABOT
Realistic AI buyers your agents practice against until every pitch converts. Faster ramp, sharper conversations, more closed deals. Prepared for the Panda Retail Media team.
Tikabot lets reps roleplay with a realistic AI buyer who adapts to their answers, pushes back like a real prospect, and returns a full scorecard after every call. Practice on demand, coach with data, and ramp new hires faster.
Practice your pitch against a realistic AI buyer that reacts in real time.
Detailed performance scores the moment a session ends.
Full transcripts with speaker labels to pinpoint what to fix.
See how each rep improves session over session.
Configure buyers and objection styles to match your market.
Aggregate insight across the team to find coaching gaps.
Skill metrics, a performance radar, communication analysis, and coaching notes. Here is what a manager sees after a rep practices the retail media pitch.
The rep built rapport quickly and asked strong discovery questions about the buyer's category performance, which earned trust. Focus on tightening talk ratio and cutting filler so the buyer has more room to share.
The rep leaned on dashboard features before fully understanding the buyer's sales goals, used excessive filler words, and offered only one next step before being prompted.
Practice a skeptical category buyer who already runs an internal dashboard, focused on defending value without discounting.
Introduced the retail media data story to create curiosity, asked several diagnostic questions about current sales visibility, and respected the buyer's need to loop in procurement.
Abell ran a sales force of 650 agents. Historically it took a new agent about three months to land their first sale. We rebuilt that ramp inside Tikabot, guiding reps through realistic buyer calls and measuring every step in the training system. Agents who committed to short daily practice reps ramped fastest, and time to first sale dropped to three to four weeks, roughly 70% faster.
We proved it first on a controlled cohort of 20 agents over three months, measured the lift against the old baseline, then scaled the program across the full team of 650. The pattern held: consistent practice, measured every week, produced a repeatable ramp.
We worked with HOTWORX across six studio locations and 120 sales staff. Membership sales depended on front desk and consultation conversations that varied a lot between sites. Tikabot gave every location the same realistic practice buyer and the same scorecard, so managers could coach to one standard.
Adoption is what made it stick. Within eight weeks, more than 90% of the 120 staff were practicing every week on their own, and that consistency showed up in faster ramping and more uniform consultations across all six sites.
Leaders Edge Training coaches real estate professionals on the conversations that win listings and close deals. Agents run through dozens of realistic scenarios in Tikabot, expired listings, price repositioning, for sale by owner, skeptical investors, first time buyers, and more, so no live conversation is their first attempt. Real estate carries a high turnover rate, and new agents often wash out before they ever find their footing.
The biggest impact was personalized coaching at scale. Every agent got specific feedback on their own calls, at their own pace, across the full library of scenarios. Agents who practiced consistently ramped faster and stayed, cutting first year agent churn by roughly 22%.
Rolling Tikabot across our 120 staff finally gave all six locations one standard. Within eight weeks more than 90% were practicing every week on their own, and that consistency is what moved the numbers. Our new hires now close their first consultations weeks sooner.
Real estate has brutal turnover, and most new agents wash out before they find their footing. Tikabot let our agents run through dozens of real scenarios before they ever faced a live client. The ones who practiced consistently ramped faster and stayed, we cut first year churn by about 22%. That retention is the whole game.
Panda runs a retail media offering built around your data. Brands and suppliers, large and small, buy access to a dashboard that shows them what is selling, where, and how their products perform on shelf. That data product is the asset your commercial team sells, and your agents find and win the clients who buy it.
That is exactly where we talked about Tikabot fitting. We build AI buyers that behave like those brands and suppliers, so your agents rehearse the real pitch, face the real objections, and get measured on it before they ever call a live account. The same idea that took a pest control team from three months to three weeks, applied to retail media.
Your buyers speak Arabic and English, so we build each persona in either language, or fully bilingual, including Gulf dialect. Your agents rehearse in the exact language they will sell in.
TIKABOTPersona questionnaire · Prepared for Yousef F Daghistani, Panda Retail Media · From Abdallah Flieh, Tikabot · tikabot.com
Tap the options that fit, and the buyer takes shape in the card at the top. Pick as many as apply. Every question has a note line for anything the options miss, plus a free notes box at the end. Do this once per persona, then click Save my answers to send it back.
Everything you share here is treated as confidential and used only to build your buyers. We are happy to sign an NDA if your team needs one before sending anything over.
TIKABOT
Looking forward to building these with you. Abdallah Flieh
🔒 Your inputs are kept confidential and used only to build your buyers. NDA available on request.